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deep_learning_class_notebooks
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0_Deep_Learning's_Hello_World.ipynb
0_Deep_Learning's_Hello_World.ipynb
10_RNN_Network.ipynb
10_RNN_Network.ipynb
11_Text_Classification.ipynb
11_Text_Classification.ipynb
12_Machine_Translation_From_Scratch_Part_1.ipynb
12_Machine_Translation_From_Scratch_Part_1.ipynb
13_Machine_Translation_From_Scratch_Part_2.ipynb
13_Machine_Translation_From_Scratch_Part_2.ipynb
14_Vanilla_GAN.ipynb
14_Vanilla_GAN.ipynb
15_DCGAN.ipynb
15_DCGAN.ipynb
16_Conditional_DCGAN.ipynb
16_Conditional_DCGAN.ipynb
17_Pix2Pix_GAN.ipynb
17_Pix2Pix_GAN.ipynb
18_Cycle_GAN.ipynb
18_Cycle_GAN.ipynb
19_Arbitrary_Style_Transfer_(AdaIN).ipynb
19_Arbitrary_Style_Transfer_(AdaIN).ipynb
1_Fashion_MNIST_and_CIFAR10.ipynb
1_Fashion_MNIST_and_CIFAR10.ipynb
20_VAE.ipynb
20_VAE.ipynb
21_Diffusion_Model.ipynb
21_Diffusion_Model.ipynb
22_Open_Source_NLU_models.ipynb
22_Open_Source_NLU_models.ipynb
23_Value_functions_and_policy_iteration.ipynb
23_Value_functions_and_policy_iteration.ipynb
24_Double_Deep_Q_Learning_1_gym_intro.ipynb
24_Double_Deep_Q_Learning_1_gym_intro.ipynb
25_Double_Deep_Q_Learning_2.ipynb
25_Double_Deep_Q_Learning_2.ipynb
2_horse_or_human_workshop.ipynb
2_horse_or_human_workshop.ipynb
3_VGG16_keras_applicarions.ipynb
3_VGG16_keras_applicarions.ipynb
4_Residual_Networks.ipynb
4_Residual_Networks.ipynb
5_Pytorch_Introdution.ipynb
5_Pytorch_Introdution.ipynb
6_CIFAR10_pytorch.ipynb
6_CIFAR10_pytorch.ipynb
7_Neural_Style_Transfer_.ipynb
7_Neural_Style_Transfer_.ipynb
8_Siamese_Networks.ipynb
8_Siamese_Networks.ipynb
9_Unet_and_Segmentation.ipynb
9_Unet_and_Segmentation.ipynb
README.md
README.md
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