DEEP LEARNING COURSE IN UDACITY

In this course, I will learn using Pytorch deep learning. In specific, the modules are the following ones: 0. Introduction to Deep Learning

1. Neural Networks
2. Convolutional Neural Networks
3. Recurrent Neural Networks
4. Generative Adversial Neural Networks
5. Deployment of a Neural Network

And for each of the module, i have to make a submission, which are the ones that are in this repository:

1. Bike sharing: Create regression with neural networks to predict bike sharing. See here
2. Image Classification: Create a CNN to classify up to 50 classes the touristic places and also use Transfer Learning with VGG16. See here
3. TV Script Generator: Develop a Recurrent Neural Network to learn based on a text to develop a TV Script. See here

Moreover, in the course there are concepts like Autoencoders, Hyperparameter Tuning, ...