In this course, I will learn using Pytorch deep learning. In specific, the modules are the following ones: 0. Introduction to Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Generative Adversial Neural Networks
- 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:
- Bike sharing: Create regression with neural networks to predict bike sharing. See here
- Image Classification: Create a CNN to classify up to 50 classes the touristic places and also use Transfer Learning with VGG16. See here
- 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, ...