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Udemy Deep Learning Masterclass with TensorFlow 2 Over 20 Projects

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Type:

Tutorials

Language:

English

Category:

Other

Size:

45.9 GB

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Files:

[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
1 - Welcome English.vtt 3.1 KB
1 - Welcome.mp4 33.3 MB
2 - General Introduction English.vtt 29.6 KB
2 - General Introduction.mp4 216.8 MB
3 - Link to Code.html 438 bytes
48 - Data logging English.vtt 39.0 KB
48 - Data logging.mp4 287.2 MB
49 - Viewing model graphs English.vtt 3.4 KB
49 - Viewing model graphs.mp4 21.5 MB
50 - Hyperparameter tuning English.vtt 23.1 KB
50 - Hyperparameter tuning.mp4 195.0 MB
51 - Profiling and other visualizations with Tensorboard English.vtt 8.9 KB
51 - Profiling and other visualizations with Tensorboard.mp4 69.2 MB
52 - Experiment tracking English.vtt 64.3 KB
52 - Experiment tracking.mp4 469.7 MB
53 - Hyperparameter tuning with wandb English.vtt 30.8 KB
53 - Hyperparameter tuning with wandb.mp4 222.6 MB
54 - Dataset Versioning with Weights and Biases and TensorFlow 2 English.vtt 50.4 KB
54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4 329.5 MB
55 - Model Versioning with Weights and Biases and TensorFlow 2 English.vtt 19.5 KB
55 - Model Versioning with Weights and Biases and TensorFlow 2.mp4 137.5 MB
[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
56 - Data preparation English.vtt 32.1 KB
56 - Data preparation.mp4 225.5 MB
57 - Modeling and training English.vtt 59.9 KB
57 - Modeling and training.mp4 371.9 MB
58 - Data augmentation English.vtt 20.2 KB
58 - Data augmentation.mp4 142.1 MB
59 - Tensorflow records English.vtt 40.3 KB
59 - Tensorflow records.mp4 293.7 MB
60 - Alexnet English.vtt 18.1 KB
60 - Alexnet.mp4 183.4 MB
61 - Vggnet English.vtt 12.3 KB
61 - Vggnet.mp4 116.5 MB
62 - Resnet English.vtt 35.6 KB
62 - Resnet.mp4 351.4 MB
63 - Coding Resnets English.vtt 26.6 KB
63 - Coding Resnets.mp4 180.3 MB
64 - Mobilenet English.vtt 27.3 KB
64 - Mobilenet.mp4 206.7 MB
65 - Efficientnet English.vtt 18.5 KB
65 - Efficientnet.mp4 189.2 MB
66 - Leveraging pretrained models English.vtt 25.2 KB
66 - Leveraging pretrained models.mp4 163.5 MB
67 - Finetuning English.vtt 14.0 KB
67 - Finetuning.mp4 112.1 MB
68 - Visualizing intermediate layers English.vtt 21.2 KB
68 - Visualizing intermediate layers.mp4 158.0 MB
69 - Gradcam method English.vtt 24.0 KB
69 - Gradcam method.mp4 226.8 MB
70 - Ensembling English.vtt 6.0 KB
70 - Ensembling.mp4 45.2 MB
71 - Class Imbalance English.vtt 12.8 KB
71 - Class Imbalance.mp4 100.6 MB
72 - Understanding VITs English.vtt 56.7 KB
72 - Understanding VITs.mp4 422.0 MB
73 - Building VITs from scratch English.vtt 57.2 KB
73 - Building VITs from scratch.mp4 398.8 MB
74 - Finetuning Huggingface transformers English.vtt 27.1 KB
74 - Finetuning Huggingface transformers.mp4 206.6 MB
75 - Model evaluation with wandb English.vtt 25.1 KB
75 - Model evaluation with wandb.mp4 140.3 MB
76 - Data efficient transformers English.vtt 9.2 KB
76 - Data efficient transformers.mp4 72.8 MB
77 - Swin transformers English.vtt 17.0 KB
77 - Swin transformers.mp4 192.3 MB
78 - Model Conversion from Tensorflow to Onnx English.vtt 26.1 KB
78 - Model Conversion from Tensorflow to Onnx.mp4 205.5 MB
79 - Understanding quantization English.vtt 29.3 KB
79 - Understanding quantization.mp4 268.2 MB
80 - Practical quantization of Onnx English.vtt 9.1 KB
80 - Practical quantization of Onnx.mp4 65.0 MB
81 - Quantization aware training English.vtt 20.0 KB
81 - Quantization aware training.mp4 160.5 MB
82 - Conversion to Tensorflow Lite English.vtt 20.0 KB
82 - Conversion to Tensorflow Lite.mp4 154.7 MB
83 - What is an API English.vtt 21.9 KB
83 - What is an API.mp4 127.9 MB
84 - Building the Emotions Detection API with Fastapi English.vtt 88.8 KB
84 - Building the Emotions Detection API with Fastapi.mp4 674.6 MB
85 - Deploy the Emotions Detection API to the Cloud English.vtt 13.6 KB
85 - Deploy the Emotions Detection API to the Cloud.mp4 100.2 MB
86 - Load tesing the Emotions Detection API with Locust English.vtt 15.6 KB
86 - Load tesing the Emotions Detection API with Locust.mp4 106.3 MB
87 - Understanding object detection English.vtt 7.4 KB
87 - Understanding object detection.mp4 52.4 MB
88 - YOLO paper English.vtt 68.1 KB
88 - YOLO paper.mp4 572.0 MB
89 - Dataset Preparation English.vtt 47.1 KB
89 - Dataset Preparation.mp4 401.1 MB
90 - YOLO Resnet English.vtt 6.0 KB
90 - YOLO Resnet.mp4 53.9 MB
91 - Data augmentation English.vtt 26.7 KB
91 - Data augmentation.mp4 219.4 MB
92 - Testing English.vtt 35.5 KB
92 - Testing.mp4 308.8 MB
93 - Data generators English.vtt 5.2 KB
93 - Data generators.mp4 51.4 MB
10 - Sparse Tensors English.vtt 3.1 KB
10 - Sparse Tensors.mp4 18.0 MB
11 - String Tensors English.vtt 3.6 KB
11 - String Tensors.mp4 23.0 MB
12 - Tensorflow Variables English.vtt 8.2 KB
12 - Tensorflow Variables.mp4 44.9 MB
4 - Tensor Basics English.vtt 7.2 KB
4 - Tensor Basics.mp4 43.5 MB
5 - Tensor Initialization and Casting English.vtt 66.9 KB
5 - Tensor Initialization and Casting.mp4 406.6 MB
6 - Indexing English.vtt 18.5 KB
6 - Indexing.mp4 77.6 MB
7 - Maths Operations in Tensorflow English.vtt 38.2 KB
7 - Maths Operations in Tensorflow.mp4 215.0 MB
8 - Linear Algebra Operations in Tensorflow English.vtt 68.6 KB
8 - Linear Algebra Operations in Tensorflow.mp4 371.5 MB
9 - Ragged Tensors English.vtt 13.6 KB
9 - Ragged Tensors.mp4 78.5 MB
94 - Image Segmentation Oxford IIIT Pet Dataset English.vtt 8.2 KB
94 - Image Segmentation Oxford IIIT Pet Dataset.mp4 60.7 MB
95 - UNET Model English.vtt 17.5 KB
95 - UNET Model.mp4 121.5 MB
96 - Training and optimization English.vtt 5.6 KB
96 - Training and optimization.mp4 44.7 MB
97 - Data augmentation and dropout English.vtt 4.9 KB
97 - Data augmentation and dropout.mp4 29.5 MB
98 - Class weighting English.vtt 15.9 KB
98 - Class weighting.mp4 132.1 MB
100 - Dataset preparation English.vtt 44.7 KB
100 - Dataset preparation.mp4 323.9 MB
101 - CSRNET English.vtt 8.3 KB
101 - CSRNET.mp4 75.2 MB
102 - Training and optimization English.vtt 6.7 KB
102 - Training and optimization.mp4 51.9 MB
103 - Data augmentation English.vtt 30.4 KB
103 - Data augmentation.mp4 260.9 MB
99 - People Counting Shangai Tech Dataset English.vtt 12.7 KB
99 - People Counting Shangai Tech Dataset.mp4 83.4 MB
104 - Introduction to image generation English.vtt 3.5 KB
104 - Introduction to image generation.mp4 27.3 MB
105 - Understanding variational autoencoders English.vtt 16.3 KB
105 - Understanding variational autoencoders.mp4 117.4 MB
106 - VAE training and digit generation English.vtt 45.3 KB
106 - VAE training and digit generation.mp4 298.6 MB
107 - Latent space visualizations English.vtt 15.3 KB
107 - Latent space visualizations.mp4 113.2 MB
108 - How GANs work English.vtt 22.1 KB
108 - How GANs work.mp4 232.4 MB
109 - Improving GAN training English.vtt 26.2 KB
109 - Improving GAN training.mp4 167.9 MB
110 - Face generation with GANs English.vtt 56.0 KB
110 - Face generation with GANs.mp4 408.6 MB
[CourseClub.Me].url 122 bytes
[FreeCourseSite.com].url 127 bytes
[GigaCourse.Com].url 49 bytes
111 - Understanding sentiment analysis English.vtt 12.2 KB
111 - Understanding sentiment analysis.mp4 90.0 MB
112 - Text standardization English.vtt 15.9 KB
112 - Text standardization.mp4 123.4 MB
113 - Tokenization English.vtt 18.3 KB
113 - Tokenization.mp4 123.6 MB
114 - Onehot encoding and Bag of Words English.vtt 16.2 KB
114 - Onehot encoding and Bag of Words.mp4 124.7 MB
115 - Term frequency Inverse Document frequency TFIDF English.vtt 10.6 KB
115 - Term frequency Inverse Document frequency TFIDF.mp4 96.3 MB
116 - Embeddings English.vtt 11.8 KB
116 - Embeddings.mp4 92.5 MB
117 - How Recurrent neural networks work English.vtt 21.6 KB
117 - How Recurrent neural networks work.mp4 123.5 MB
118 - Data preparation English.vtt 30.5 KB
118 - Data preparation.mp4 206.5 MB
119 - Building and training RNNs English.vtt 25.8 KB
119 - Building and training RNNs.mp4 167.1 MB
120 - Advanced RNNs LSTM and GRU English.vtt 38.1 KB
120 - Advanced RNNs LSTM and GRU.mp4 227.0 MB
121 - 1D Convolutional Neural Network English.vtt 33.9 KB
121 - 1D Convolutional Neural Network.mp4 283.9 MB
122 - Understanding Word2vec English.vtt 27.6 KB
122 - Understanding Word2vec.mp4 211.1 MB
123 - Integrating pretrained Word2vec embeddings English.vtt 14.1 KB
123 - Integrating pretrained Word2vec embeddings.mp4 91.4 MB
124 - Testing English.vtt 8.2 KB
124 - Testing.mp4 53.0 MB
125 - Visualizing embeddings English.vtt 17.3 KB
125 - Visualizing embeddings.mp4 149.7 MB
126 - Understanding Machine Translation English.vtt 15.2 KB
126 - Understanding Machine Translation.mp4 101.4 MB
127 - Data preparation English.vtt 29.2 KB
127 - Data preparation.mp4 165.8 MB
128 - Building training and testing Model English.vtt 33.4 KB
128 - Building training and testing Model.mp4 229.0 MB
129 - Understanding BLEU Score English.vtt 12.0 KB
129 - Understanding BLEU Score.mp4 74.4 MB
130 - Coding BLEU score from scratch English.vtt 16.2 KB
130 - Coding BLEU score from scratch.mp4 111.5 MB
131 - Understanding Bahdanau Attention English.vtt 21.6 KB
131 - Understanding Bahdanau Attention.mp4 180.3 MB
132 - Building training and testing Bahdanau Attention English.vtt 24.5 KB
132 - Building training and testing Bahdanau Attention.mp4 179.4 MB
133 - Understanding Transformer Networks English.vtt 69.9 KB
133 - Understanding Transformer Networks.mp4 607.0 MB
134 - Building training and testing Transformers English.vtt 66.9 KB
134 - Building training and testing Transformers.mp4 557.0 MB
135 - Building Transformers with Custom Attention Layer English.vtt 22.7 KB
135 - Building Transformers with Custom Attention Layer.mp4 183.1 MB
136 - Visualizing Attention scores English.vtt 15.0 KB
136 - Visualizing Attention scores.mp4 87.3 MB
137 - Sentiment analysis with Transformer encoder English.vtt 9.7 KB
137 - Sentiment analysis with Transformer encoder.mp4 66.8 MB
138 - Sentiment analysis with LSH Attention English.vtt 81.1 KB
138 - Sentiment analysis with LSH Attention.mp4 539.2 MB
13 - Task Understanding English.vtt 5.1 KB
13 - Task Understanding.mp4 30.5 MB
14 - Data Preparation English.vtt 38.5 KB
14 - Data Preparation.mp4 276.3 MB
15 - Linear Regression Model English.vtt 16.8 KB
15 - Linear Regression Model.mp4 105.1 MB
16 - Error sanctioning English.vtt 16.0 KB
16 - Error sanctioning.mp4 95.1 MB
17 - Training and Optimization English.vtt 17.2 KB
17 - Training and Optimization.mp4 116.7 MB
18 - Performance Measurement English.vtt 3.1 KB
18 - Performance Measurement.mp4 21.9 MB
19 - Validation and testing English.vtt 21.3 KB
19 - Validation and testing.mp4 135.7 MB
20 - Corrective Measures English.vtt 26.9 KB
20 - Corrective Measures.mp4 195.9 MB
139 - Understanding Transfer Learning English.vtt 13.8 KB
139 - Understanding Transfer Learning.mp4 72.5 MB
140 - Ulmfit English.vtt 5.1 KB
140 - Ulmfit.mp4 45.1 MB
141 - Gpt English.vtt 22.4 KB
141 - Gpt.mp4 119.1 MB
142 - Bert English.vtt 21.2 KB
142 - Bert.mp4 140.9 MB
143 - Albert English.vtt 5.2 KB
143 - Albert.mp4 53.8 MB
144 - Gpt2 English.vtt 13.1 KB
144 - Gpt2.mp4 136.5 MB
145 - Roberta English.vtt 2.3 KB
145 - Roberta.mp4 20.0 MB
146 - T5 English.vtt 9.1 KB
146 - T5.mp4 75.3 MB
147 - Data Preparation English.vtt 50.8 KB
147 - Data Preparation.mp4 335.0 MB
148 - Buildingtraining and testing model English.vtt 30.9 KB
148 - Buildingtraining and testing model.mp4 216.6 MB
149 - Problem Understanding and Data Preparation English.vtt 20.2 KB
149 - Problem Understanding and Data Preparation.mp4 146.3 MB
150 - Buildingtraining and testing model English.vtt 10.8 KB
150 - Buildingtraining and testing model.mp4 84.0 MB
151 - Problem Understanding and Data Preparation English.vtt 29.9 KB
151 - Problem Understanding and Data Preparation.mp4 187.9 MB
152 - Buildingtraining and testing model English.vtt 14.7 KB
152 - Buildingtraining and testing model.mp4 97.9 MB
153 - Problem Understanding and Data Preparation English.vtt 67.7 KB
153 - Problem Understanding and Data Preparation.mp4 605.1 MB
154 - Buildingtraining and testing model English.vtt 13.9 KB
154 - Buildingtraining and testing model.mp4 109.3 MB
155 - Problem Understanding and Sentence Embeddings English.vtt 40.1 KB
155 - Problem Understanding and Sentence Embeddings.mp4 311.3 MB
156 - Dataset preparation English.vtt 41.4 KB
156 - Dataset preparation.mp4 331.2 MB
157 - Buildingtraining and testing model English.vtt 49.2 KB
157 - Buildingtraining and testing model.mp4 396.1 MB
158 - Problem Understanding and Data Preparation English.vtt 25.5 KB
158 - Problem Understanding and Data Preparation.mp4 185.7 MB
159 - Buildingtraining and testing model English.vtt 29.3 KB
159 - Buildingtraining and testing model.mp4 253.4 MB
160 - Problem Understanding and Data Preparation English.vtt 10.1 KB
160 - Problem Understanding and Data Preparation.mp4 65.7 MB
161 - Buildingtraining and testing model English.vtt 7.9 KB
161 - Buildingtraining and testing model.mp4 54.9 MB
162 - Problem Understanding and Data Preparation English.vtt 29.4 KB
162 - Problem Understanding and Data Preparation.mp4 236.9 MB
163 - Buildingtraining and testing model English.vtt 16.7 KB
163 - Buildingtraining and testing model.mp4 134.7 MB
164 - Welcome English.vtt 2.0 KB
164 - Welcome.mp4 5.1 MB
165 - General Introduction English.vtt 11.8 KB
165 - General Introduction.mp4 54.0 MB
166 - Applications of Deep Learning English.vtt 8.6 KB
166 - Applications of Deep Learning.mp4 70.5 MB
167 - About this Course English.vtt 9.7 KB
167 - About this Course.mp4 70.9 MB
168 - Link to Code.html 107 bytes
21 - Task understanding English.vtt 9.2 KB
21 - Task understanding.mp4 63.7 MB
22 - Data Preparation English.vtt 23.4 KB
22 - Data Preparation.mp4 160.6 MB
23 - Data visualization English.vtt 3.0 KB
23 - Data visualization.mp4 16.8 MB
24 - Data Processing English.vtt 9.1 KB
24 - Data Processing.mp4 54.5 MB
25 - How and Why Convolutional Neural Networks work English.vtt 52.0 KB
25 - How and Why Convolutional Neural Networks work.mp4 348.7 MB
26 - Building Convnets in Tensorflow English.vtt 7.3 KB
26 - Building Convnets in Tensorflow.mp4 44.7 MB
27 - Binary Crossentropy loss English.vtt 8.5 KB
27 - Binary Crossentropy loss.mp4 47.1 MB
28 - Convnet training English.vtt 15.1 KB
28 - Convnet training.mp4 113.8 MB
29 - Model evaluation and testing English.vtt 6.0 KB
29 - Model evaluation and testing.mp4 39.7 MB
30 - Loading and Saving Tensorflow Models to Google Drive English.vtt 20.3 KB
30 - Loading and Saving Tensorflow Models to Google Drive.mp4 129.0 MB
169 - Python Installation English.vtt 4.3 KB
169 - Python Installation.mp4 18.1 MB
170 - Variables and Basic Operators English.vtt 28.1 KB
170 - Variables and Basic Operators.mp4 134.9 MB
171 - Conditional Statements English.vtt 17.7 KB
171 - Conditional Statements.mp4 89.6 MB
172 - Loops English.vtt 22.4 KB
172 - Loops.mp4 93.2 MB
173 - Methods English.vtt 21.5 KB
173 - Methods.mp4 88.4 MB
174 - Objects and Classes English.vtt 14.9 KB
174 - Objects and Classes.mp4 59.1 MB
175 - Operator Overloading English.vtt 11.9 KB
175 - Operator Overloading.mp4 52.9 MB
176 - Method Types English.vtt 9.2 KB
176 - Method Types.mp4 48.3 MB
177 - Inheritance English.vtt 10.9 KB
177 - Inheritance.mp4 57.3 MB
178 - Encapsulation English.vtt 2.1 KB
178 - Encapsulation.mp4 11.6 MB
179 - Polymorphism English.vtt 2.5 KB
179 - Polymorphism.mp4 13.4 MB
180 - Decorators English.vtt 18.3 KB
180 - Decorators.mp4 90.7 MB
181 - Generators English.vtt 9.4 KB
181 - Generators.mp4 46.6 MB
182 - Numpy Package English.vtt 50.5 KB
182 - Numpy Package.mp4 207.9 MB
183 - Matplotlib Introduction English.vtt 4.9 KB
183 - Matplotlib Introduction.mp4 21.5 MB
184 - Task Machine Learning Development Life Cycle English.vtt 14.7 KB
184 - Task Machine Learning Development Life Cycle.mp4 80.3 MB
185 - Data Machine Learning Development Life Cycle English.vtt 16.5 KB
185 - Data Machine Learning Development Life Cycle.mp4 82.7 MB
186 - Model Machine Learning Development Life Cycle English.vtt 19.6 KB
186 - Model Machine Learning Development Life Cycle.mp4 98.6 MB
187 - Error Sanctioning Machine Learning Development Life Cycle English.vtt 29.4 KB
187 - Error Sanctioning Machine Learning Development Life Cycle.mp4 178.9 MB
188 - Linear Regression English.vtt 45.6 KB
188 - Linear Regression.mp4 241.0 MB
189 - Logistic Regression English.vtt 36.1 KB
189 - Logistic Regression.mp4 229.4 MB
190 - Linear Regression Practice English.vtt 26.6 KB
190 - Linear Regression Practice.mp4 130.2 MB
191 - Logistic Regression Practice English.vtt 14.5 KB
191 - Logistic Regression Practice.mp4 72.4 MB
192 - Optimization English.vtt 21.8 KB
192 - Optimization.mp4 126.9 MB
193 - Performance Measurement English.vtt 37.8 KB
193 - Performance Measurement.mp4 210.2 MB
194 - Validation and Testing English.vtt 9.0 KB
194 - Validation and Testing.mp4 42.6 MB
195 - Softmax Regression Data English.vtt 5.6 KB
195 - Softmax Regression Data.mp4 48.6 MB
196 - Softmax Regression Modeling English.vtt 7.5 KB
196 - Softmax Regression Modeling.mp4 36.3 MB
197 - Softmax Regression Errror Sanctioning English.vtt 9.9 KB
197 - Softmax Regression Errror Sanctioning.mp4 47.1 MB
198 - Softmax Regression Training and Optimization English.vtt 37.0 KB
198 - Softmax Regression Training and Optimization.mp4 207.1 MB
199 - Softmax Regression Performance Measurement English.vtt 9.8 KB
199 - Softmax Regression Performance Measurement.mp4 62.6 MB
200 - Neural Networks Modeling English.vtt 29.5 KB
200 - Neural Networks Modeling.mp4 186.3 MB
201 - Neural Networks Error Sanctioning English.vtt 2.1 KB
201 - Neural Networks Error Sanctioning.mp4 8.5 MB
202 - Neural Networks Training and Optimization English.vtt 50.3 KB
202 - Neural Networks Training and Optimization.mp4 366.1 MB
203 - Neural Networks Training and Optimization Practicals English.vtt 36.8 KB
203 - Neural Networks Training and Optimization Practicals.mp4 212.6 MB
204 - Neural Networks Performance Measurement English.vtt 3.9 KB
204 - Neural Networks Performance Measurement.mp4 22.2 MB
205 - Neural Networks Validation and testing English.vtt 9.4 KB
205 - Neural Networks Validation and testing.mp4 59.0 MB
206 - Solving Overfitting and Underfitting English.vtt 25.7 KB
206 - Solving Overfitting and Underfitting.mp4 164.4 MB
207 - Shuffling English.vtt 1.2 KB
207 - Shuffling.mp4 5.8 MB
208 - Ensembling English.vtt 748 bytes
208 - Ensembling.mp4 4.5 MB
209 - Weight Initialization English.vtt 17.2 KB
209 - Weight Initialization.mp4 103.2 MB
210 - Data Imbalance English.vtt 5.2 KB
210 - Data Imbalance.mp4 27.4 MB
211 - Learning rate decay English.vtt 2.6 KB
211 - Learning rate decay.mp4 12.4 MB
212 - Normalization English.vtt 17.7 KB
212 - Normalization.mp4 100.8 MB
213 - Hyperparameter tuning English.vtt 3.3 KB
213 - Hyperparameter tuning.mp4 14.5 MB
214 - In Class Exercise English.vtt 4.6 KB
214 - In Class Exercise.mp4 27.6 MB
215 - TensorFlow Installation English.vtt 13.0 KB
215 - TensorFlow Installation.mp4 95.0 MB
216 - Introduction to TensorFlow English.vtt 18.0 KB
216 - Introduction to TensorFlow.mp4 107.7 MB
217 - TensorFlow Basics English.vtt 29.9 KB
217 - TensorFlow Basics.mp4 120.1 MB
218 - Training a Neural Network with TensorFlow English.vtt 47.2 KB
218 - Training a Neural Network with TensorFlow.mp4 231.5 MB
219 - Tiny Imagenet Dataset English.vtt 10.3 KB
219 - Tiny Imagenet Dataset.mp4 85.4 MB
220 - TinyImagenet Preparation English.vtt 23.4 KB
220 - TinyImagenet Preparation.mp4 131.0 MB
221 - Introduction to Convolutional Neural Networks English.vtt 67.9 KB
221 - Introduction to Convolutional Neural Networks.mp4 359.7 MB
222 - Error Sanctioning English.vtt 6.9 KB
222 - Error Sanctioning.mp4 26.2 MB
223 - Training Validation and Performance Measurement English.vtt 3.7 KB
223 - Training Validation and Performance Measurement.mp4 20.9 MB
224 - Reducing overfitting English.vtt 8.6 KB
224 - Reducing overfitting.mp4 62.8 MB
225 - VGGNet English.vtt 16.4 KB
225 - VGGNet.mp4 168.4 MB
226 - InceptionNet English.vtt 18.3 KB
226 - InceptionNet.mp4 137.0 MB
227 - ResNet English.vtt 17.0 KB
227 - ResNet.mp4 196.5 MB
228 - MobileNet English.vtt 22.7 KB
228 - MobileNet.mp4 198.1 MB
229 - EfficientNet English.vtt 39.1 KB
229 - EfficientNet.mp4 393.7 MB
230 - Transfer Learning and FineTuning English.vtt 62.4 KB
230 - Transfer Learning and FineTuning.mp4 439.9 MB
231 - Data Augmentation English.vtt 12.1 KB
231 - Data Augmentation.mp4 71.3 MB
232 - Callbacks English.vtt 16.9 KB
232 - Callbacks.mp4 123.7 MB
233 - Monitoring with TensorBoard English.vtt 18.0 KB
233 - Monitoring with TensorBoard.mp4 101.4 MB
234 - ConvNet Project 1 English.vtt 2.7 KB
234 - ConvNet Project 1.mp4 10.4 MB
235 - ConvNet Project 2 English.vtt 4.6 KB
235 - ConvNet Project 2.mp4 30.0 MB
236 - Sentiment Analysis Dataset English.vtt 27.1 KB
236 - Sentiment Analysis Dataset.mp4 153.5 MB
237 - Imdb Dataset Code English.vtt 39.8 KB
237 - Imdb Dataset Code.mp4 287.5 MB
238 - Recurrent Neural Networks English.vtt 37.3 KB
238 - Recurrent Neural Networks.mp4 207.5 MB
239 - Training and Optimization Evaluation English.vtt 15.5 KB
239 - Training and Optimization Evaluation.mp4 86.2 MB
240 - Embeddings English.vtt 17.7 KB
240 - Embeddings.mp4 98.2 MB
241 - LSTM English.vtt 21.1 KB
241 - LSTM.mp4 146.0 MB
242 - GRU English.vtt 5.5 KB
242 - GRU.mp4 30.4 MB
243 - 1D Convolutions English.vtt 14.0 KB
243 - 1D Convolutions.mp4 65.7 MB
244 - Bidirectional RNNs English.vtt 5.8 KB
244 - Bidirectional RNNs.mp4 37.4 MB
245 - Word2Vec English.vtt 14.3 KB
245 - Word2Vec.mp4 96.3 MB
246 - RNN Project English.vtt 3.9 KB
246 - RNN Project.mp4 27.8 MB
247 - Breast Cancer Dataset English.vtt 13.8 KB
247 - Breast Cancer Dataset.mp4 91.1 MB
248 - ResNet Model English.vtt 2.5 KB
248 - ResNet Model.mp4 13.3 MB
249 - Training and Performance Measurement English.vtt 25.2 KB
249 - Training and Performance Measurement.mp4 150.1 MB
250 - Corrective Measures English.vtt 9.3 KB
250 - Corrective Measures.mp4 49.6 MB
251 - Plant Disease Project English.vtt 5.8 KB
251 - Plant Disease Project.mp4 39.0 MB
252 - Object Detection English.vtt 7.2 KB
252 - Object Detection.mp4 49.2 MB
253 - Pascal VOC Dataset English.vtt 59.6 KB
253 - Pascal VOC Dataset.mp4 402.5 MB
254 - Modeling YOLO v1 English.vtt 49.1 KB
254 - Modeling YOLO v1.mp4 479.2 MB
255 - Error Sanctioning English.vtt 32.8 KB
255 - Error Sanctioning.mp4 185.7 MB
256 - Training and Optimization English.vtt 11.2 KB
256 - Training and Optimization.mp4 111.8 MB
257 - Testing English.vtt 23.9 KB
257 - Testing.mp4 162.4 MB
258 - Performance Measurement Mean Average Precision mAP English.vtt 46.0 KB
258 - Performance Measurement Mean Average Precision mAP.mp4 267.0 MB
259 - Data Augmentation English.vtt 15.6 KB
259 - Data Augmentation.mp4 96.5 MB
260 - YOLO v3 English.vtt 76.0 KB
260 - YOLO v3.mp4 614.1 MB
261 - Instance Segmentation Project English.vtt 1.6 KB
261 - Instance Segmentation Project.mp4 10.6 MB
262 - Image Segmentation Oxford IIIT Pet Dataset English.vtt 8.2 KB
262 - Image Segmentation Oxford IIIT Pet Dataset.mp4 57.4 MB
263 - UNET model English.vtt 17.8 KB
263 - UNET model.mp4 113.2 MB
264 - Training and Optimization English.vtt 5.4 KB
264 - Training and Optimization.mp4 41.9 MB
265 - Data Augmentation and Dropout English.vtt 4.8 KB
265 - Data Augmentation and Dropout.mp4 27.2 MB
266 - Class weighting and reduced network English.vtt 16.3 KB
266 - Class weighting and reduced network.mp4 123.4 MB
267 - Semantic Segmentation Project English.vtt 527 bytes
267 - Semantic Segmentation Project.mp4 1.5 MB
268 - People Counting Shangai Tech Dataset English.vtt 12.7 KB
268 - People Counting Shangai Tech Dataset.mp4 79.5 MB
269 - Dataset Preparation English.vtt 45.0 KB
269 - Dataset Preparation.mp4 303.1 MB
270 - CSRNET English.vtt 8.5 KB
270 - CSRNET.mp4 71.4 MB
271 - Training and Optimization English.vtt 6.8 KB
271 - Training and Optimization.mp4 49.2 MB
272 - Data Augmentation English.vtt 30.6 KB
272 - Data Augmentation.mp4 245.5 MB
273 - Object Counting Project English.vtt 1.1 KB
273 - Object Counting Project.mp4 2.8 MB
274 - FreEng Dataset and Task English.vtt 18.1 KB
274 - FreEng Dataset and Task.mp4 123.0 MB
275 - Sequence to Sequence Models English.vtt 30.8 KB
275 - Sequence to Sequence Models.mp4 198.2 MB
276 - Training Sequence to Sequence Models English.vtt 3.4 KB
276 - Training Sequence to Sequence Models.mp4 14.9 MB
277 - Performance Measurement BLEU Score English.vtt 33.8 KB
277 - Performance Measurement BLEU Score.mp4 167.5 MB
278 - Testing Sequence to Sequence Models English.vtt 12.6 KB
278 - Testing Sequence to Sequence Models.mp4 74.6 MB
279 - Attention Mechanism Bahdanau Attention English.vtt 62.4 KB
279 - Attention Mechanism Bahdanau Attention.mp4 421.4 MB
280 - Transformers Theory English.vtt 61.5 KB
280 - Transformers Theory.mp4 332.2 MB
281 - Building Transformers with TensorFlow 2 English.vtt 60.8 KB
281 - Building Transformers with TensorFlow 2.mp4 315.9 MB
282 - Text Normalization project English.vtt 3.3 KB
282 - Text Normalization project.mp4 23.8 MB
31 - Functional API English.vtt 17.8 KB
31 - Functional API.mp4 138.4 MB
32 - Model Subclassing English.vtt 16.1 KB
32 - Model Subclassing.mp4 119.6 MB
33 - Custom Layers English.vtt 19.3 KB
33 - Custom Layers.mp4 135.7 MB
283 - Understanding Question Answering English.vtt 2.7 KB
283 - Understanding Question Answering.mp4 12.9 MB
284 - SQUAD dataset English.vtt 22.1 KB
284 - SQUAD dataset.mp4 224.0 MB
285 - SQUAD dataset preparation English.vtt 22.4 KB
285 - SQUAD dataset preparation.mp4 165.3 MB
286 - Context Answer Network English.vtt 10.4 KB
286 - Context Answer Network.mp4 62.4 MB
287 - Training and Optimization English.vtt 6.0 KB
287 - Training and Optimization.mp4 36.0 MB
288 - Data Augmentation English.vtt 2.5 KB
288 - Data Augmentation.mp4 14.5 MB
289 - LSH Attention English.vtt 80.1 KB
289 - LSH Attention.mp4 478.8 MB
290 - BERT Model English.vtt 19.1 KB
290 - BERT Model.mp4 220.3 MB
291 - BERT Practice English.vtt 37.6 KB
291 - BERT Practice.mp4 288.6 MB
292 - GPT Based Chatbot English.vtt 1.3 KB
292 - GPT Based Chatbot.mp4 11.1 MB
293 - What is Automatic Speech Recognition English.vtt 2.9 KB
293 - What is Automatic Speech Recognition.mp4 12.4 MB
294 - LJ Speech Dataset English.vtt 8.6 KB
294 - LJ Speech Dataset.mp4 45.9 MB
295 - Fourier Transform English.vtt 37.0 KB
295 - Fourier Transform.mp4 224.2 MB
296 - Short Time Fourier Transform English.vtt 27.2 KB
296 - Short Time Fourier Transform.mp4 161.0 MB
297 - Conv CTC Model English.vtt 22.0 KB
297 - Conv CTC Model.mp4 115.3 MB
298 - Speech Transformer English.vtt 25.6 KB
298 - Speech Transformer.mp4 234.2 MB
299 - Audio Classification project English.vtt 758 bytes
299 - Audio Classification project.mp4 4.4 MB
300 - Flickr 30k Dataset English.vtt 23.9 KB
300 - Flickr 30k Dataset.mp4 188.0 MB
301 - CNN Transformer Model English.vtt 6.8 KB
301 - CNN Transformer Model.mp4 43.4 MB
302 - Training and Optimization English.vtt 22.0 KB
302 - Training and Optimization.mp4 177.1 MB
303 - Vision Transformers English.vtt 25.4 KB
303 - Vision Transformers.mp4 238.3 MB
304 - OCR Project English.vtt 791 bytes
304 - OCR Project.mp4 4.1 MB
305 - Introduction to Generative Modeling English.vtt 7.9 KB
305 - Introduction to Generative Modeling.mp4 77.3 MB
306 - Image Generation English.vtt 12.4 KB
306 - Image Generation.mp4 88.7 MB
307 - GAN Loss English.vtt 10.5 KB
307 - GAN Loss.mp4 55.6 MB
308 - GAN training and Optimization English.vtt 27.2 KB
308 - GAN training and Optimization.mp4 190.0 MB
309 - Wasserstein GAN English.vtt 36.9 KB
309 - Wasserstein GAN.mp4 277.5 MB
310 - Image to Image Translation Project English.vtt 923 bytes
310 - Image to Image Translation Project.mp4 5.7 MB
311 - Introduction English.vtt 5.2 KB
311 - Introduction.mp4 24.1 MB
312 - Model Preparation English.vtt 8.3 KB
312 - Model Preparation.mp4 63.9 MB
313 - Deployment English.vtt 12.3 KB
313 - Deployment.mp4 52.8 MB
34 - PrecisionRecall and Accuracy English.vtt 25.0 KB
34 - PrecisionRecall and Accuracy.mp4 211.3 MB
35 - Confusion Matrix English.vtt 10.8 KB
35 - Confusion Matrix.mp4 62.4 MB
36 - ROC Plots English.vtt 9.0 KB
36 - ROC Plots.mp4 50.2 MB
37 - Tensorflow Callbacks English.vtt 27.9 KB
37 - Tensorflow Callbacks.mp4 217.3 MB
38 - Learning rate scheduling English.vtt 19.2 KB
38 - Learning rate scheduling.mp4 136.9 MB
39 - Model checkpointing English.vtt 8.5 KB
39 - Model checkpointing.mp4 61.8 MB
40 - Mitigating overfitting and underfitting English.vtt 30.8 KB
40 - Mitigating overfitting and underfitting.mp4 202.1 MB
41 - Data augmentation with TensorFlow using tfimage and Keras Layers English.vtt 61.0 KB
41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4 424.0 MB
42 - Mixup Data augmentation with TensorFlow 2 with intergration in tfdata English.vtt 20.9 KB
42 - Mixup Data augmentation with TensorFlow 2 with intergration in tfdata.mp4 161.8 MB
43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata English.vtt 43.7 KB
43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4 344.2 MB
44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation English.vtt 91.7 KB
44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4 617.5 MB
45 - Custom Loss and Metrics English.vtt 24.4 KB
45 - Custom Loss and Metrics.mp4 176.0 MB
46 - Eager and graph modes English.vtt 14.2 KB
46 - Eager and graph modes.mp4 88.7 MB
47 - Custom training loops English.vtt 29.3 KB
47 - Custom training loops.mp4 235.0 MB

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