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Udemy - Tensorflow Tutorial: Hands-on AI development with Tensorflow

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tutsnode

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1337x

Downloads:

30

Type:

Tutorials

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Udemy - Tensorflow Tutorial: Hands-on AI development with Tensorflow

Language:

English

Category:

Other

Size:

4.0 GB

Added:

June 1, 2023, 11:11 p.m.

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Files:

3. Cats vs Dogs.mp4 289.5 MB
TutsNode.com.txt 63 bytes
3. Cats vs Dogs.srt 39.8 KB
1. Fashion Clothing Recognition.srt 22.2 KB
6. Digit Classification.srt 21.1 KB
4. Backpropagation.srt 20.7 KB
8. Facial Recognition using PCA.srt 19.4 KB
6. Logistic Regression - Implementation.srt 17.9 KB
3. Linear Regression - Theory.srt 17.3 KB
4. Linear Regression - Implementation.srt 17.0 KB
2. Convolution in CNN (part1).srt 16.5 KB
1. Decision Trees - Theory.srt 15.2 KB
3. Convolution in CNN (part2).srt 15.0 KB
3. Graphs.srt 14.9 KB
1. K-Means Algorithm (Part 1).srt 14.3 KB
3. Complex Decision Boundaries.srt 13.6 KB
4. Layers of CNN.srt 13.0 KB
2. K-Means Algorithm (Part 2).srt 12.9 KB
2. CIFAR 10 and CNN.srt 12.7 KB
4. K-Means ++.srt 12.6 KB
7. Principal Component Analysis.srt 12.6 KB
1. What is TensorFlow 2 Preview.srt 12.6 KB
6. Famous CNN Architectures.srt 12.2 KB
1. Introduction.srt 12.0 KB
2. Gates and Forward Propagation.srt 12.0 KB
5. Digit Classification.srt 11.9 KB
6. Intro to Machine Learning.srt 11.8 KB
5. Logistic Regression - Theory.srt 11.7 KB
2. Basics of TensorFlow.srt 11.6 KB
1. Introduction.srt 11.6 KB
4. Automatic Differentiation.srt 11.3 KB
4. Action Recognition.srt 10.4 KB
2. Decision Trees - Implementation.srt 10.1 KB
7. Overfitting and Regularization.srt 9.0 KB
3. Centroid Initialization.srt 8.7 KB
5. Keras and TensorFlow.srt 7.8 KB
5. Gradient Descent Type and Softmax.srt 7.7 KB
[TGx]Downloaded from torrentgalaxy.to .txt 585 bytes
0 1009 bytes
1. Fashion Clothing Recognition.mp4 156.7 MB
6. K-Means Implementation.srt 7.4 KB
8. Model Evaluation - Theory.srt 5.2 KB
5. Number of Clusters.srt 4.6 KB
9. Model Evaluation - Implementation.srt 4.0 KB
7. Types of Supervised Learning.srt 3.8 KB
1 289.1 KB
8. Facial Recognition using PCA.mp4 149.1 MB
2 914.0 KB
4. Backpropagation.mp4 147.2 MB
3 829.6 KB
6. Digit Classification.mp4 144.4 MB
4 651.4 KB
3. Linear Regression - Theory.mp4 144.1 MB
5 895.9 KB
1. Decision Trees - Theory.mp4 138.8 MB
6 245.2 KB
2. Convolution in CNN (part1).mp4 137.3 MB
7 743.5 KB
3. Convolution in CNN (part2).mp4 131.7 MB
8 301.4 KB
6. Logistic Regression - Implementation.mp4 117.3 MB
9 701.2 KB
4. Layers of CNN.mp4 113.8 MB
10 157.8 KB
6. Intro to Machine Learning.mp4 112.4 MB
11 564.5 KB
3. Graphs.mp4 112.2 MB
12 775.3 KB
3. Complex Decision Boundaries.mp4 111.7 MB
13 354.3 KB
7. Principal Component Analysis.mp4 109.9 MB
14 149.5 KB
1. Introduction.mp4 109.1 MB
15 912.3 KB
5. Logistic Regression - Theory.mp4 107.5 MB
16 465.0 KB
2. Gates and Forward Propagation.mp4 104.3 MB
17 749.5 KB
4. Linear Regression - Implementation.mp4 104.0 MB
18 996.6 KB
2. K-Means Algorithm (Part 2).mp4 103.2 MB
19 859.5 KB
1. Introduction.mp4 100.3 MB
20 724.2 KB
1. K-Means Algorithm (Part 1).mp4 99.9 MB
21 66.7 KB
6. Famous CNN Architectures.mp4 96.5 MB
22 562.5 KB
5. Digit Classification.mp4 94.0 MB
23 37.1 KB
4. K-Means ++.mp4 90.3 MB
24 695.9 KB
1. What is TensorFlow 2 Preview.mp4 86.9 MB
25 105.0 KB
2. CIFAR 10 and CNN.mp4 83.6 MB
26 419.9 KB
4. Action Recognition.mp4 82.1 MB
27 926.1 KB
4. Automatic Differentiation.mp4 77.6 MB
28 443.1 KB
7. Overfitting and Regularization.mp4 76.1 MB
29 880.2 KB
2. Basics of TensorFlow.mp4 74.4 MB
30 597.8 KB
5. Keras and TensorFlow.mp4 67.0 MB
31 16.0 KB
3. Centroid Initialization.mp4 66.3 MB
32 760.4 KB
5. Gradient Descent Type and Softmax.mp4 62.9 MB
33 116.6 KB
2. Decision Trees - Implementation.mp4 60.9 MB
34 69.5 KB
6. K-Means Implementation.mp4 50.7 MB
35 307.3 KB
8. Model Evaluation - Theory.mp4 46.2 MB
36 781.3 KB
9. Model Evaluation - Implementation.mp4 33.0 MB
37 42.2 KB
5. Number of Clusters.mp4 31.8 MB
38 243.2 KB
7. Types of Supervised Learning.mp4 27.6 MB

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