My project submissions for Udacity Deep Learning Foundations Course which can be found at: https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101.
Build a regression model on the Bike Sharing Dataset:
https://github.com/kimegitee/deep-learning/tree/master/first-neural-network
Train a convolutional network to classify images from the CIFAR-10 dataset:
https://github.com/kimegitee/deep-learning/tree/master/image-classification
Train a recurrent neural network to generate TV scripts from the Simpsons:
https://github.com/kimegitee/deep-learning/tree/master/tv-script-generation
Train a sequence-to-sequence model to translate English to French:
https://github.com/kimegitee/deep-learning/tree/master/language-translation
Each directory has a requirements.txt describing the minimal dependencies required to run the notebooks in that directory.
To install these dependencies with pip, you can issue pip3 install -r requirements.txt.