- Your First Neural Network: Implement a neural network in Numpy to predict bike rentals.
- Image classification: Build a convolutional neural network with TensorFlow to classify CIFAR-10 images.
- Text Generation: Train a recurrent neural network on scripts from The Simpson's (copyright Fox) to generate new scripts.
- Machine Translation: Train a sequence to sequence network for English to French translation (on a simple dataset)
- Face Generation: Use a DCGAN on the CelebA dataset to generate images of novel and realistic human faces.
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
.
You can find Conda environment files for the Deep Learning program in the environments
folder. Note that environment files are platform dependent. Versions with tensorflow-gpu
are labeled in the filename with "GPU".