According to Udacity, a Nanodegree is a project and skills-based educational credential program. You enroll, you learn a suite of skills, you successfully complete a certain amount of projects that demonstrate your mastery of these skills, and you receive a credential affirming your mastery of these skills.
At this repo, I have organized my class materials and my projects in Deep Learning Nanodegree.
1 - My first neural network - Using only Numpy I have builded and trained a neural network to predict the number of shared bike users.
2 - Image classification - Using Tensorflow to build a CNN and classify Cifar-10 images. This project have a live demo
3 - Generating TV scripts - Using Tensorflow to build a RNN and generate entirely new pieces of Simpsons dialogs.
4 - English to French Translation - Translating English to French with RNN. This project have a live demo
5 - Faces generation - With generative adversarial net builded with Tensorflow, I created new faces. This project don't have live demo, but you can see the results in a gif here
Extra - Hand digit recognition - It isn't a nanodegree project, It's just a normal class but I have build a live demo for it.