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Name		Name	Last commit message	Last commit date
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C1 Week 1 - Custom Models, Layers, and Loss Functions with TensorFlow .ipynb		C1 Week 1 - Custom Models, Layers, and Loss Functions with TensorFlow .ipynb
C1 Week 2 - Custom Models, Layers, and Loss Functions with TensorFlow .ipynb		C1 Week 2 - Custom Models, Layers, and Loss Functions with TensorFlow .ipynb
C1 Week 3 - Custom Models, Layers, and Loss Functions with TensorFlow .ipynb.ipynb		C1 Week 3 - Custom Models, Layers, and Loss Functions with TensorFlow .ipynb.ipynb
C1 Week 4 - Custom Models, Layers, and Loss Functions with TensorFlow .ipynb		C1 Week 4 - Custom Models, Layers, and Loss Functions with TensorFlow .ipynb
C1_W1_Lab_1_functional-practice.ipynb		C1_W1_Lab_1_functional-practice.ipynb
C1_W1_Lab_2_multi-output.ipynb		C1_W1_Lab_2_multi-output.ipynb
C1_W1_Lab_3_siamese-network.ipynb		C1_W1_Lab_3_siamese-network.ipynb
C1_W2_Lab_1_huber-loss.ipynb		C1_W2_Lab_1_huber-loss.ipynb
C1_W2_Lab_2_huber-object-loss.ipynb		C1_W2_Lab_2_huber-object-loss.ipynb
C1_W3_Lab_1_lambda-layer.ipynb		C1_W3_Lab_1_lambda-layer.ipynb
C1_W3_Lab_2_custom-dense-layer.ipynb		C1_W3_Lab_2_custom-dense-layer.ipynb
C1_W3_Lab_3_custom-layer-activation.ipynb		C1_W3_Lab_3_custom-layer-activation.ipynb
C1_W4_Lab_1_basic-model.ipynb		C1_W4_Lab_1_basic-model.ipynb
C1_W4_Lab_2_resnet-example.ipynb		C1_W4_Lab_2_resnet-example.ipynb
C2 Week 1 - Custom and Distributed Training with TensorFlow.ipynb		C2 Week 1 - Custom and Distributed Training with TensorFlow.ipynb
C2_W1_Lab_1_basic-tensors.ipynb		C2_W1_Lab_1_basic-tensors.ipynb
C2_W1_Lab_2_gradient-tape-basics.ipynb		C2_W1_Lab_2_gradient-tape-basics.ipynb
C2_W2_Lab_1_training-basics.ipynb		C2_W2_Lab_1_training-basics.ipynb
C2_W2_Lab_2_training-categorical.ipynb		C2_W2_Lab_2_training-categorical.ipynb
C2_W3_Lab_1_autograph-basics.ipynb		C2_W3_Lab_1_autograph-basics.ipynb
C2_W3_Lab_2-graphs-for-complex-code.ipynb		C2_W3_Lab_2-graphs-for-complex-code.ipynb
C2_W4_Lab_1_basic-mirrored-strategy.ipynb		C2_W4_Lab_1_basic-mirrored-strategy.ipynb
C2_W4_Lab_2_multi-GPU-mirrored-strategy.ipynb		C2_W4_Lab_2_multi-GPU-mirrored-strategy.ipynb
C2_W4_Lab_3_using-TPU-strategy.ipynb		C2_W4_Lab_3_using-TPU-strategy.ipynb
C2_W4_Lab_4_one-device-strategy.ipynb		C2_W4_Lab_4_one-device-strategy.ipynb
C3_W1_Lab_1_transfer_learning_cats_dogs.ipynb		C3_W1_Lab_1_transfer_learning_cats_dogs.ipynb
C3_W1_Lab_2_Transfer_Learning_CIFAR_10.ipynb		C3_W1_Lab_2_Transfer_Learning_CIFAR_10.ipynb
C3_W1_Lab_3_Object_Localization.ipynb		C3_W1_Lab_3_Object_Localization.ipynb
C3_W2_Lab_1_Simple_Object_Detection.ipynb		C3_W2_Lab_1_Simple_Object_Detection.ipynb
C3_W2_Lab_2_Object_Detection.ipynb		C3_W2_Lab_2_Object_Detection.ipynb
C3_W3_Lab_1_VGG16_FCN8_CamVid.ipynb		C3_W3_Lab_1_VGG16_FCN8_CamVid.ipynb
C3_W3_Lab_2_OxfordPets_UNet.ipynb		C3_W3_Lab_2_OxfordPets_UNet.ipynb
C3_W3_Lab_3_Mask_RCNN_ImageSegmentation.ipynb		C3_W3_Lab_3_Mask_RCNN_ImageSegmentation.ipynb
C3_W4_Lab_1_FashionMNIST_CAM.ipynb		C3_W4_Lab_1_FashionMNIST_CAM.ipynb
C3_W4_Lab_2_CatsDogs_CAM.ipynb		C3_W4_Lab_2_CatsDogs_CAM.ipynb
C3_W4_Lab_3_Saliency.ipynb		C3_W4_Lab_3_Saliency.ipynb
C3_W4_Lab_4_GradCam.ipynb		C3_W4_Lab_4_GradCam.ipynb
C4_W1_Lab_1_Neural_Style_Transfer-2.ipynb		C4_W1_Lab_1_Neural_Style_Transfer-2.ipynb
C4_W1_Lab_1_Neural_Style_Transfer.ipynb		C4_W1_Lab_1_Neural_Style_Transfer.ipynb
C4_W1_Lab_2_Fast_NST.ipynb		C4_W1_Lab_2_Fast_NST.ipynb
C4_W2_Lab_1_FirstAutoEncoder.ipynb		C4_W2_Lab_1_FirstAutoEncoder.ipynb
C4_W2_Lab_2_MNIST_Autoencoder.ipynb		C4_W2_Lab_2_MNIST_Autoencoder.ipynb
C4_W2_Lab_3_MNIST_DeepAutoencoder.ipynb		C4_W2_Lab_3_MNIST_DeepAutoencoder.ipynb
C4_W2_Lab_4_FashionMNIST_CNNAutoEncoder.ipynb		C4_W2_Lab_4_FashionMNIST_CNNAutoEncoder.ipynb
C4_W2_Lab_5_FashionMNIST_NoisyCNNAutoEncoder.ipynb		C4_W2_Lab_5_FashionMNIST_NoisyCNNAutoEncoder.ipynb
C4_W4_Lab_1_First_GAN.ipynb		C4_W4_Lab_1_First_GAN.ipynb
C4_W4_Lab_2_First_DCGAN.ipynb		C4_W4_Lab_2_First_DCGAN.ipynb
C4_W4_Lab_3_CelebA_GAN_Experiments.ipynb		C4_W4_Lab_3_CelebA_GAN_Experiments.ipynb
Object_Detection_Inference_on_TF_2_and_TF_Hub.ipynb		Object_Detection_Inference_on_TF_2_and_TF_Hub.ipynb
huber-loss.png		huber-loss.png
inception_model.png		inception_model.png
interactive_eager_few_shot_od_training_colab.ipynb		interactive_eager_few_shot_od_training_colab.ipynb
layer_1_to_4.png		layer_1_to_4.png
multiple_output.png		multiple_output.png
newtork.png		newtork.png
other_model.png		other_model.png
resnet1.png		resnet1.png
resnet2.png		resnet2.png
resnet3.png		resnet3.png
resnet4-1.png		resnet4-1.png
resnet4-2.png		resnet4-2.png
resnet4-3.png		resnet4-3.png
resnet4-4.png		resnet4-4.png
resnet4.png		resnet4.png
siamese_multi_input.png		siamese_multi_input.png
siamese_network.png		siamese_network.png
similarity.png		similarity.png
tensor-character.png		tensor-character.png
tensor-revisited.png		tensor-revisited.png
what_is_layer.png		what_is_layer.png
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