GitHub - B2BDA/DeepLearningCV: Course code for my Deep Learning Computer Vision Course

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Course code for my Deep Learning Computer Vision Course

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
10.1 - 10.3 - Data Augmentation - Cats vs Dogs.ipynb		10.1 - 10.3 - Data Augmentation - Cats vs Dogs.ipynb
10.4 - Data Augmentation Demos.ipynb		10.4 - Data Augmentation Demos.ipynb
11.1 - 11.2 - MNIST Confusion Matrix Analysis and Viewing Misclassifications.ipynb		11.1 - 11.2 - MNIST Confusion Matrix Analysis and Viewing Misclassifications.ipynb
12.2 Checkpointing Models and Early Stopping.ipynb		12.2 Checkpointing Models and Early Stopping.ipynb
12.3 Building a Fruit Classifer.ipynb		12.3 Building a Fruit Classifer.ipynb
13.1 Built LeNet and test on MNIST.ipynb		13.1 Built LeNet and test on MNIST.ipynb
13.2 Build AlexNet and test on CIFAR10.ipynb		13.2 Build AlexNet and test on CIFAR10.ipynb
13.4 Fashion MNIST.ipynb		13.4 Fashion MNIST.ipynb
14.1 Experimenting with pre-trained Models in Keras (VGG16, ResNet50 & InceptionV3).ipynb		14.1 Experimenting with pre-trained Models in Keras (VGG16, ResNet50 & InceptionV3).ipynb
15.2 Using MobileNet to make a Monkey Breed Classifier.ipynb		15.2 Using MobileNet to make a Monkey Breed Classifier.ipynb
15.3 Making a Flower Classifier with VGG16.ipynb		15.3 Making a Flower Classifier with VGG16.ipynb
16.2 LittleVGG - Simpsons.ipynb		16.2 LittleVGG - Simpsons.ipynb
18.2 Building an Emotion Detector with LittleVGG.ipynb		18.2 Building an Emotion Detector with LittleVGG.ipynb
18.3A - Age, Gender Detection.ipynb		18.3A - Age, Gender Detection.ipynb
18.3B Age, Gender with Emotion.ipynb		18.3B Age, Gender with Emotion.ipynb
23.1 DeepDream.ipynb		23.1 DeepDream.ipynb
23.2 Neural Style Transfer.ipynb		23.2 Neural Style Transfer.ipynb
4.1 - Handwritten Digit Classification Demo (MNIST).ipynb		4.1 - Handwritten Digit Classification Demo (MNIST).ipynb
4.2 - Image Classifier - CIFAR10.ipynb		4.2 - Image Classifier - CIFAR10.ipynb
4.3. Live Sketching.ipynb		4.3. Live Sketching.ipynb
8.11 - Building a CNN for Image Classification - CIFAR10.ipynb		8.11 - Building a CNN for Image Classification - CIFAR10.ipynb
8.3 to 8.10 - Building a CNN for handwritten digits - MNIST.ipynb		8.3 to 8.10 - Building a CNN for handwritten digits - MNIST.ipynb
9.1 Activation Maximization using Keras Visualization Toolkit.ipynb		9.1 Activation Maximization using Keras Visualization Toolkit.ipynb
9.2 Saliency Maps.ipynb		9.2 Saliency Maps.ipynb
9.3A Visualizing Filter Patterns.ipynb		9.3A Visualizing Filter Patterns.ipynb
9.3B Visualizing Filter Patterns - VGG16.ipynb		9.3B Visualizing Filter Patterns - VGG16.ipynb
9.4 Heat Map Visualizations of Class Activation.ipynb		9.4 Heat Map Visualizations of Class Activation.ipynb
Credit Card Reader.ipynb		Credit Card Reader.ipynb
Final CC.ipynb		Final CC.ipynb
MNIST DCGAN.ipynb		MNIST DCGAN.ipynb
Test - Imports Keras, OpenCV and tests webcam.ipynb		Test - Imports Keras, OpenCV and tests webcam.ipynb
U-Net.ipynb		U-Net.ipynb
amer_sign2.png		amer_sign2.png
cosine.JPG		cosine.JPG
cosinesim.JPG		cosinesim.JPG
credit.png		credit.png
hotoneencode.JPG		hotoneencode.JPG
preprocessors.py		preprocessors.py
test_card.jpg		test_card.jpg

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