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data
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deep_learning_models
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imgs
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solutions
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1.1 Introduction - Deep Learning and ANN.ipynb
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1.2 Introduction - Theano.ipynb
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1.3 Introduction - Keras.ipynb
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1.4 (Extra) A Simple Implementation of ANN for MNIST.ipynb
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2.1 Supervised Learning - ConvNets.ipynb
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2.2.1 Supervised Learning - ConvNet HandsOn Part I.ipynb
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2.2.2 Supervised Learning - ConvNet HandsOn Part II.ipynb
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2.3 Supervised Learning - Famous Models with Keras.ipynb
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3.1 Unsupervised Learning - AutoEncoders and Embeddings.ipynb
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3.2 RNN and LSTM.ipynb
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3.3 (Extra) LSTM for Sentence Generation.ipynb
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4. Conclusions.ipynb
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0. Preamble.ipynb
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data_helpers.py
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deep-learning-osx.yml
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deep-learning.yml
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LICENSE
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outline.md
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w2v.py
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