TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
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Updated
Jun 26, 2018 - Jupyter Notebook
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.
In this notebook, I built machine learning and neural network models to regress and predict Rossmann stores' daily sales.
Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow
This notebook loads a time series of gas concentrations in the air to train a recurrent neural network to predict the next hour of data
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