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Deep Learning Computer VisionTM CNN OpenCV YOLO SSD GANs Udemy Course

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Files:

[CourseClub.ME].url 122 bytes
[FCS Forum].url 133 bytes
[FreeCourseSite.com].url 127 bytes
1. Course Introduction.mp4 90.2 MB
1. Course Introduction.srt 15.7 KB
1. Data Augmentation Chapter Overview.mp4 3.9 MB
1. Data Augmentation Chapter Overview.srt 1.5 KB
2. Splitting Data into Test and Training Datasets.mp4 103.8 MB
2. Splitting Data into Test and Training Datasets.srt 14.3 KB
2.1 datasets.zip.zip 65.7 MB
3. Train a Cats vs. Dogs Classifier.mp4 44.8 MB
3. Train a Cats vs. Dogs Classifier.srt 6.2 KB
4. Boosting Accuracy with Data Augmentation.mp4 43.5 MB
4. Boosting Accuracy with Data Augmentation.srt 7.4 KB
5. Types of Data Augmentation.mp4 52.5 MB
5. Types of Data Augmentation.srt 8.3 KB
1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp4 2.5 MB
1. Introduction to the Confusion Matrix & Viewing Misclassifications.srt 917 bytes
2. Understanding the Confusion Matrix.mp4 93.0 MB
2. Understanding the Confusion Matrix.srt 16.5 KB
3. Finding and Viewing Misclassified Data.mp4 44.4 MB
3. Finding and Viewing Misclassified Data.srt 8.5 KB
1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp4 3.4 MB
1. Introduction to the types of Optimizers, Learning Rates & Callbacks.srt 1.0 KB
2. Types Optimizers and Adaptive Learning Rate Methods.mp4 67.2 MB
2. Types Optimizers and Adaptive Learning Rate Methods.srt 11.0 KB
3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp4 51.1 MB
3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.srt 9.4 KB
4. Build a Fruit Classifier.mp4 92.9 MB
4. Build a Fruit Classifier.srt 11.6 KB
4.1 fruits-360.tar.gz.gz 376.0 MB
1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp4 2.8 MB
1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.srt 860 bytes
2. Build LeNet and test on MNIST.mp4 32.1 MB
2. Build LeNet and test on MNIST.srt 4.4 KB
3. Build AlexNet and test on CIFAR10.mp4 42.2 MB
3. Build AlexNet and test on CIFAR10.srt 6.3 KB
4. Batch Normalization.mp4 23.2 MB
4. Batch Normalization.srt 4.2 KB
5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp4 56.3 MB
5. Build a Clothing & Apparel Classifier (Fashion MNIST).srt 8.4 KB
5.1 fashion_mnist.tar.gz.gz 29.4 MB
1. Chapter Introduction.mp4 2.9 MB
1. Chapter Introduction.srt 856 bytes
2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp4 82.1 MB
2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.srt 12.1 KB
3. Understanding VGG16 and VGG19.mp4 14.4 MB
3. Understanding VGG16 and VGG19.srt 2.4 KB
4. Understanding ResNet50.mp4 9.8 MB
4. Understanding ResNet50.srt 2.1 KB
5. Understanding InceptionV3.mp4 14.4 MB
5. Understanding InceptionV3.srt 3.5 KB
1. Chapter Introduction.mp4 2.3 MB
1. Chapter Introduction.srt 813 bytes
2. What is Transfer Learning and Fine Tuning.mp4 44.9 MB
2. What is Transfer Learning and Fine Tuning.srt 9.3 KB
3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4 135.3 MB
3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.srt 17.6 KB
3.1 17_flowers.tar.gz.gz 57.5 MB
4. Build a Flower Classifier with VGG16 using Transfer Learning.mp4 82.0 MB
4. Build a Flower Classifier with VGG16 using Transfer Learning.srt 10.6 KB
4.1 monkey_breed.zip.zip 546.7 MB
1. Chapter Introduction.mp4 1.9 MB
1. Chapter Introduction.srt 636 bytes
2. Introducing LittleVGG.mp4 11.5 MB
2. Introducing LittleVGG.srt 2.0 KB
3. Simpsons Character Recognition using LittleVGG.mp4 99.6 MB
3. Simpsons Character Recognition using LittleVGG.srt 12.6 KB
3.1 simpsons.tar.gz.gz 549.5 MB
1. Chapter Introduction.mp4 2.1 MB
1. Chapter Introduction.srt 659 bytes
2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp4 32.3 MB
2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.srt 6.7 KB
3. Advanced Initializations.mp4 15.0 MB
3. Advanced Initializations.srt 3.6 KB
1. Chapter Introduction.mp4 4.6 MB
1. Chapter Introduction.srt 1.3 KB
2. Build an Emotion, Facial Expression Detector.mp4 202.0 MB
2. Build an Emotion, Facial Expression Detector.srt 26.1 KB
2.1 fer2013.zip.zip 143.3 MB
3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4 260.8 MB
3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.srt 31.4 KB
3.1 age-gender-estimation.tar.gz.gz 552.2 MB
1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp4 2.9 MB
1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.srt 891 bytes
2. What is Segmentation And Applications in Medical Imaging.mp4 29.6 MB
2. What is Segmentation And Applications in Medical Imaging.srt 5.6 KB
3. U-Net Image Segmentation with CNNs.mp4 30.5 MB
3. U-Net Image Segmentation with CNNs.srt 5.0 KB
4. The Intersection over Union (IoU) Metric.mp4 43.0 MB
4. The Intersection over Union (IoU) Metric.srt 6.3 KB
5. Finding the Nuclei in Divergent Images.mp4 171.1 MB
5. Finding the Nuclei in Divergent Images.srt 20.9 KB
5.1 U_NET.zip.zip 90.0 MB
1. Introduction to Computer Vision & Deep Learning.mp4 3.1 MB
1. Introduction to Computer Vision & Deep Learning.srt 863 bytes
2. What is Computer Vision and What Makes it Hard.mp4 60.1 MB
2. What is Computer Vision and What Makes it Hard.srt 8.6 KB
3. What are Images.mp4 58.8 MB
3. What are Images.srt 10.7 KB
4. Intro to OpenCV, OpenVINO™ & their Limitations.mp4 41.4 MB
4. Intro to OpenCV, OpenVINO™ & their Limitations.srt 9.2 KB
1. Chapter Introduction.mp4 3.4 MB
1. Chapter Introduction.srt 1.1 KB
2. Object Detection Introduction - Sliding Windows with HOGs.mp4 51.6 MB
2. Object Detection Introduction - Sliding Windows with HOGs.srt 7.7 KB
3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4 135.9 MB
3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.srt 21.0 KB
4. Single Shot Detectors (SSDs).mp4 12.4 MB
4. Single Shot Detectors (SSDs).srt 2.7 KB
5. YOLO to YOLOv3.mp4 33.1 MB
5. YOLO to YOLOv3.srt 5.3 KB
1. Chapter Introduction.mp4 2.4 MB
1. Chapter Introduction.srt 765 bytes
2. TFOD API Install and Setup.mp4 47.6 MB
2. TFOD API Install and Setup.srt 6.6 KB
2.1 Download the code (for those not using the Virtual Machine).html 108 bytes
3. Experiment with a ResNet SSD on images, webcam and videos.mp4 83.6 MB
3. Experiment with a ResNet SSD on images, webcam and videos.srt 10.1 KB
4. How to Train a TFOD Model.mp4 74.2 MB
4. How to Train a TFOD Model.srt 11.9 KB
1. Chapter Introduction.mp4 2.5 MB
1. Chapter Introduction.srt 658 bytes
2. Setting up and install Yolo DarkNet and DarkFlow.mp4 51.7 MB
2. Setting up and install Yolo DarkNet and DarkFlow.srt 7.6 KB
2.1 Guide to the MacOS Install.html 124 bytes
2.2 Download the YOLO files (if not using the VM).html 108 bytes
3. Experiment with YOLO on still images, webcam and videos.mp4 104.5 MB
3. Experiment with YOLO on still images, webcam and videos.srt 12.1 KB
4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4 159.1 MB
4. Build your own YOLO Object Detector - Detecting London Underground Signs.srt 22.3 KB
4.1 LondonUnderground_train.tar.gz.gz 5.1 MB
1. Chapter Introduction.mp4 1.5 MB
1. Chapter Introduction.srt 496 bytes
2. DeepDream – How AI Generated Art All Started.mp4 84.0 MB
2. DeepDream – How AI Generated Art All Started.srt 11.4 KB
3. Neural Style Transfer.mp4 124.7 MB
3. Neural Style Transfer.srt 17.3 KB
1. Generative Adverserial Neural Networks Chapter Overview.mp4 4.6 MB
1. Generative Adverserial Neural Networks Chapter Overview.srt 1.2 KB
2. Introduction To GANs.mp4 85.3 MB
2. Introduction To GANs.srt 16.6 KB
3. Mathematics of GANs.mp4 27.2 MB
3. Mathematics of GANs.srt 5.2 KB
4. Implementing GANs in Keras.mp4 96.3 MB
4. Implementing GANs in Keras.srt 15.6 KB
5. Face Aging GAN.mp4 46.8 MB
5. Face Aging GAN.srt 7.5 KB
5.1 GenerativeNetworks.tar.gz.gz 117.0 MB
1. Basic Face Recognition using LittleVGG CNN.html 997 bytes
1.1 25. Face Recognition All Notebooks.tar.gz.gz 120.7 MB
2. Face Matching with VGGFace.html 1.1 KB
2.1 vgg_face_weights.h5.tar.gz.gz 520.7 MB
3. Face Recognition using WebCam & Identifying Friends TV Show Characters in Video.html 441 bytes
1. Chapter Introduction.mp4 3.2 MB
1. Chapter Introduction.srt 1.0 KB
2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.mp4 23.0 MB
2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.srt 4.6 KB
3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.mp4 8.6 MB
3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.srt 1.6 KB
4. Popular Computer Vision Conferences & Finding Datasets.mp4 19.6 MB
4. Popular Computer Vision Conferences & Finding Datasets.srt 3.5 KB
5. Building a Deep Learning Machine vs. Cloud GPUs.mp4 28.2 MB
5. Building a Deep Learning Machine vs. Cloud GPUs.srt 5.6 KB
1. Step 1 - Creating a Credit Card Number Dataset.html 12.3 KB
1.1 Credit-Card Number Identification.zip.zip 128.4 KB
2. Step 2 - Training Our Model.html 4.7 KB
3. Step 3 - Extracting A Credit Card from the Background.html 8.0 KB
4. Step 4 - Use our Model to Identify the Digits & Display it onto our Credit Card.html 4.1 KB
1. Why use Cloud GPUs and How to Setup a PaperSpace Gradient Notebook.html 15.0 KB
2. Train a AlexNet on PaperSpace.html 6.9 KB
2.1 AlexNet CIFAR10.zip.zip 29.6 KB
1. Install and Run Flask.html 5.0 KB
1.1 CVApiWebAPp.tar.gz.gz 7.7 MB
2. Running Your Computer Vision Web App on Flask Locally.html 6.7 KB
3. Running Your Computer Vision API.html 4.8 KB
4. Setting Up An AWS Account.html 1.7 KB
5. Setting Up Your AWS EC2 Instance & Installing Keras, TensorFlow, OpenCV & Flask.html 6.9 KB
6. Changing your EC2 Security Group.html 1.6 KB
7. Using FileZilla to transfer files to your EC2 Instance.html 4.7 KB
8. Running your CV Web App on EC2.html 2.4 KB
9. Running your CV API on EC2.html 3.1 KB
1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp4 77.4 MB
1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).srt 14.4 KB
1.1 Download Your Deep Learning Virtual Machine HERE.html 143 bytes
1.2 DeepLearningCV2.tar.gz.gz 643.2 MB
1.3 Master Deep Learning Computer Vision Slides.pdf.pdf 56.5 MB
1.4 MIRROR - Download Your Deep Learning Virtual Machine HERE.html 108 bytes
1.5 Slides - Deep-Learning-Computer-Vision.pdf.pdf 56.5 MB
2. Optional - Troubleshooting Guide for VM Setup & for resolving some MacOS Issues.html 6.7 KB
3. Optional - Manual Setup of Ubuntu Virtual Machine.html 3.5 KB
4. Optional - Setting up a shared drive with your Host OS.html 2.9 KB
1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.mp4 7.5 MB
1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.srt 900 bytes
2. Experiment with a Handwriting Classifier.mp4 67.3 MB
2. Experiment with a Handwriting Classifier.srt 8.2 KB
3. Experiment with a Image Classifier.mp4 27.3 MB
3. Experiment with a Image Classifier.srt 4.3 KB
4. OpenCV Demo – Live Sketch with Webcam.mp4 41.2 MB
4. OpenCV Demo – Live Sketch with Webcam.srt 5.5 KB
1. Setup OpenCV.mp4 13.9 MB
1. Setup OpenCV.srt 2.2 KB
1.1 MasterOpenCV.tar.gz.gz 47.1 MB
10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp4 11.0 MB
10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.srt 3.4 KB
11. Image Translations - Moving Images Up, Down. Left And Right.mp4 18.5 MB
11. Image Translations - Moving Images Up, Down. Left And Right.srt 4.0 KB
12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp4 23.1 MB
12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.srt 4.6 KB
13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp4 36.6 MB
13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.srt 6.6 KB
14. Image Pyramids - Another Way of Re-Sizing.mp4 14.2 MB
14. Image Pyramids - Another Way of Re-Sizing.srt 2.8 KB
15. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp4 24.1 MB
15. Cropping - Cut Out The Image The Regions You Want or Don't Want.srt 3.9 KB
16. Arithmetic Operations - Brightening and Darkening Images.mp4 31.1 MB
16. Arithmetic Operations - Brightening and Darkening Images.srt 16.5 MB
17. Bitwise Operations - How Image Masking Works.mp4 28.9 MB
17. Bitwise Operations - How Image Masking Works.srt 5.7 KB
18. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp4 70.2 MB
18. Blurring - The Many Ways We Can Blur Images & Why It's Important.srt 11.0 KB
19. Sharpening - Reverse Your Images Blurs.mp4 17.3 MB
19. Sharpening - Reverse Your Images Blurs.srt 2.7 KB
2. What are Images.mp4 16.0 MB
2. What are Images.srt 3.3 KB
20. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4 64.8 MB
20. Thresholding (Binarization) - Making Certain Images Areas Black or White.srt 12.2 KB
21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp4 42.0 MB
21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.srt 7.2 KB
22. Edge Detection using Image Gradients & Canny Edge Detection.mp4 45.7 MB
22. Edge Detection using Image Gradients & Canny Edge Detection.srt 7.3 KB
23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp4 31.7 MB
23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.srt 5.6 KB
24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp4 43.8 MB
24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.srt 7.5 KB
25. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 77.4 MB
25. Segmentation and Contours - Extract Defined Shapes In Your Image.srt 16.7 KB
26. Sorting Contours - Sort Those Shapes By Size.mp4 106.2 MB
26. Sorting Contours - Sort Those Shapes By Size.srt 19.9 KB
27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp4 47.0 MB
27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.srt 36.1 MB
28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp4 52.9 MB
28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.srt 7.9 KB
29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp4 47.3 MB
29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).srt 8.3 KB
3. How are Images Formed.mp4 21.3 MB
3. How are Images Formed.srt 45.8 MB
30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4 65.7 MB
30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.srt 9.9 KB
31. Circle Detection.html 1.6 KB
32. Blob Detection - Detect The Center of Flowers.mp4 32.2 MB
32. Blob Detection - Detect The Center of Flowers.srt 5.2 KB
33. Mini Project 3 - Counting Circles and Ellipses.mp4 51.9 MB
33. Mini Project 3 - Counting Circles and Ellipses.srt 9.0 KB
34. Object Detection Overview.mp4 30.8 MB
34. Object Detection Overview.srt 4.9 KB
35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp4 25.9 MB
35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).srt 4.4 KB
36. Feature Description Theory - How We Digitally Represent Objects.mp4 35.3 MB
36. Feature Description Theory - How We Digitally Represent Objects.srt 7.4 KB
37. Finding Corners - Why Corners In Images Are Important to Object Detection.mp4 52.1 MB
37. Finding Corners - Why Corners In Images Are Important to Object Detection.srt 10.5 KB
38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4 82.0 MB
38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.srt 12.0 KB
39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 43.1 MB
39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.srt 7.8 KB
4. Storing Images on Computers.mp4 42.3 MB
4. Storing Images on Computers.srt 6.8 KB
40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4 89.2 MB
40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.srt 16.6 KB
40.1 Lecture 6.2 and 6.3.tar.gz.gz 271.5 KB
41. Mini Project 6 - Car and Pedestrian Detection in Videos.mp4 56.4 MB
41. Mini Project 6 - Car and Pedestrian Detection in Videos.srt 10.5 KB
41.1 Lecture 6.2 and 6.3.tar.gz.gz 271.5 KB
5. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 74.9 MB
5. Getting Started with OpenCV - A Brief OpenCV Intro.srt 12.3 KB
6. Grayscaling - Converting Color Images To Shades of Gray.mp4 15.0 MB
6. Grayscaling - Converting Color Images To Shades of Gray.srt 2.8 KB
7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4 106.2 MB
7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.srt 16.9 KB
8. Histogram representation of Images - Visualizing the Components of Images.mp4 42.4 MB
8. Histogram representation of Images - Visualizing the Components of Images.srt 6.2 KB
9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp4 31.0 MB
9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.srt 5.5 KB
1. Neural Networks Chapter Overview.mp4 7.8 MB
1. Neural Networks Chapter Overview.srt 2.1 KB
10. Epochs, Iterations and Batch Sizes.mp4 26.1 MB
10. Epochs, Iterations and Batch Sizes.srt 4.8 KB
11. Measuring Performance and the Confusion Matrix.mp4 52.1 MB
11. Measuring Performance and the Confusion Matrix.srt 9.7 KB
12. Review and Best Practices.mp4 27.1 MB
12. Review and Best Practices.srt 6.1 KB
2. Machine Learning Overview.mp4 52.3 MB
2. Machine Learning Overview.srt 11.3 KB
3. Neural Networks Explained.mp4 23.3 MB
3. Neural Networks Explained.srt 5.5 KB
4. Forward Propagation.mp4 63.3 MB
4. Forward Propagation.srt 11.5 KB
5. Activation Functions.mp4 59.6 MB
5. Activation Functions.srt 11.8 KB
6. Training Part 1 – Loss Functions.mp4 58.4 MB
6. Training Part 1 – Loss Functions.srt 11.9 KB
7. Training Part 2 – Backpropagation and Gradient Descent.mp4 72.6 MB
7. Training Part 2 – Backpropagation and Gradient Descent.srt 13.2 KB
8. Backpropagation & Learning Rates – A Worked Example.mp4 99.8 MB
8. Backpropagation & Learning Rates – A Worked Example.srt 17.9 KB
9. Regularization, Overfitting, Generalization and Test Datasets.mp4 118.4 MB
9. Regularization, Overfitting, Generalization and Test Datasets.srt 21.2 KB
1. Convolutional Neural Networks Chapter Overview.mp4 5.1 MB
1. Convolutional Neural Networks Chapter Overview.srt 1.5 KB
2. Convolutional Neural Networks Introduction.mp4 36.7 MB
2. Convolutional Neural Networks Introduction.srt 7.0 KB
3. Convolutions & Image Features.mp4 102.4 MB
3. Convolutions & Image Features.srt 17.4 KB
4. Depth, Stride and Padding.mp4 46.5 MB
4. Depth, Stride and Padding.srt 9.1 KB
5. ReLU.mp4 10.9 MB
5. ReLU.srt 2.4 KB
6. Pooling.mp4 28.8 MB
6. Pooling.srt 6.4 KB
7. The Fully Connected Layer.mp4 13.8 MB
7. The Fully Connected Layer.srt 3.2 KB
8. Training CNNs.mp4 27.2 MB
8. Training CNNs.srt 4.2 KB
9. Designing Your Own CNN.mp4 24.2 MB
9. Designing Your Own CNN.srt 5.3 KB
1. Building a CNN in Keras.mp4 5.6 MB
1. Building a CNN in Keras.srt 1.4 KB
10. Saving and Loading Your Model.mp4 29.5 MB
10. Saving and Loading Your Model.srt 4.6 KB
11. Displaying Your Model Visually.mp4 25.4 MB
11. Displaying Your Model Visually.srt 4.3 KB
12. Building a Simple Image Classifier using CIFAR10.mp4 74.3 MB
12. Building a Simple Image Classifier using CIFAR10.srt 11.2 KB
2. Introduction to Keras & Tensorflow.mp4 73.7 MB
2. Introduction to Keras & Tensorflow.srt 17.8 KB
3. Building a Handwriting Recognition CNN.mp4 11.1 MB
3. Building a Handwriting Recognition CNN.srt 2.6 KB
4. Loading Our Data.mp4 52.9 MB
4. Loading Our Data.srt 8.6 KB
5. Getting our data in ‘Shape’.mp4 33.8 MB
5. Getting our data in ‘Shape’.srt 5.9 KB
6. Hot One Encoding.mp4 18.2 MB
6. Hot One Encoding.srt 4.1 KB
7. Building & Compiling Our Model.mp4 36.2 MB
7. Building & Compiling Our Model.srt 5.5 KB
8. Training Our Classifier.mp4 40.8 MB
8. Training Our Classifier.srt 7.0 KB
9. Plotting Loss and Accuracy Charts.mp4 25.6 MB
9. Plotting Loss and Accuracy Charts.srt 4.6 KB
1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.mp4 8.3 MB
1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.srt 1.5 KB
2. Saliency Maps & Class Activation Maps.mp4 64.2 MB
2. Saliency Maps & Class Activation Maps.srt 9.2 KB
3. Saliency Maps & Class Activation Maps.mp4 80.8 MB
3. Saliency Maps & Class Activation Maps.srt 11.3 KB
4. Filter Visualizations.mp4 89.5 MB
4. Filter Visualizations.srt 13.5 KB
5. Heat Map Visualizations of Class Activations.mp4 34.2 MB
5. Heat Map Visualizations of Class Activations.srt 5.0 KB

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