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Deep Learning Experiments Motivated from Fastai Course
Jupyter Notebook Python
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.ipynb_checkpoints
common
coursera-deep-learning
deep_rl_course
fastai_course2
small_data
.gitignore
A2C.ipynb
Art_To_Small.ipynb
Art_To_Small_2.ipynb
Baby Names.ipynb
CRNN.ipynb
Chatbot_Seq2Seq_With_Attention.ipynb
DQN-Cart-Simple.ipynb
DQN-MLP.ipynb
DQN.ipynb
DS_Generator.ipynb
Encoder_Decoder_w_Attention.ipynb
GAE-Pong.ipynb
GAE.ipynb
GAN-Copy1.ipynb
GAN.ipynb
Neural_Conversational_Model.ipynb
Neural_Style.ipynb
Neural_Style_Transfer.ipynb
PPO.ipynb
PPO_Cartpole.ipynb
PPO_Pong.ipynb
Policy_Gradients_Pong.ipynb
Predict Nvidia.ipynb
README.md
RL.ipynb
Rec_Eng.ipynb
Recognize_Kids.ipynb
Run_ChatBot.ipynb
Run_DQN.ipynb
SAGAN.ipynb
Sparse Auto Encoder.ipynb
Stacked, Denoising Auto Encoder.ipynb
TF_Conv.ipynb
TF_RNN.ipynb
Theano RNN.ipynb
Tweet-to-Text-Copy1.ipynb
Tweet-to-Text.ipynb
Twiter Sentiment.ipynb
Untitled.ipynb
VAE.ipynb
chat.py
inference_kids.py
models.py
reinforcement_q_learning.ipynb
untitled.txt
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