Deep Learning Fundamentals

Implementation of various Deep Learning Algorithms:

1. Simple NN prediction: bike_sharing-neural_network
2. CNN: CIFAR-10 classifier - image_classifier-convolutional_network
3. RNN: Language Translation - language_translation_eng_fr-RNN
4. LSTM: TV Script Generation - tv_script_generation-rnn_lstm_network
5. GAN: Generate New Images Of Faces - face_generation-GAN

Tensorflow 1.x was used to train the models in this repo

The projects were completed as part of Udacity's Deep Learning nanodegree