deep-learning.

Toy Neural Network in Numpy, code for visualizing what CNN's learn, and visualizing what CNN's learn.

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
README.md		README.md
class activation map using vgg16.ipynb		class activation map using vgg16.ipynb
classification of dogs vs cats (with visualization of how data augmentation works).ipynb		classification of dogs vs cats (with visualization of how data augmentation works).ipynb
conv2d_1.png		conv2d_1.png
conv2d_2.png		conv2d_2.png
conv2d_3.png		conv2d_3.png
conv2d_4.png		conv2d_4.png
feature extraction with data augmentation vgg 16(francois).ipynb		feature extraction with data augmentation vgg 16(francois).ipynb
feature extraction without data augmentation on pretrained vgg16 network(francois book).ipynb		feature extraction without data augmentation on pretrained vgg16 network(francois book).ipynb
fine tuning of pretrained vgg 16 network (francois).ipynb		fine tuning of pretrained vgg 16 network (francois).ipynb
localizing how the model predicted it is a african elephant using CLASS ACTIVATION MAP ( model pretrained on VGG 16 ).jpg		localizing how the model predicted it is a african elephant using CLASS ACTIVATION MAP ( model pretrained on VGG 16 ).jpg
max_pool2d_1.png		max_pool2d_1.png
max_pool2d_2.png		max_pool2d_2.png
max_pool2d_3.png		max_pool2d_3.png
max_pool2d_4.png		max_pool2d_4.png
original image fed to the model for prediction (for CAM).jpg		original image fed to the model for prediction (for CAM).jpg

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