Hello!
Welcome to my repository, where I share my projects and experiments with the PyTorch library. I'm currently exploring the nuances of PyTorch to improve my knowledge of neural networks, machine learning, among others.
This repository is a space dedicated to my ongoing learning with PyTorch. Here, you will find projects ranging from simple experiments to more complex implementations. My goal is to learn, grow and, of course, share knowledge with the community.
- Pytorch learning 00: Introduction to the basic concepts of addition, multiplication, dtype, tensor, device ....
- Pytorch learning 01: Pytorch workflow fundamentals> data train, simple neural network class, loss fucntion, how to optimize parameters step-by-step, apply in regression problem.
- Pytorch learning 01-GPU: Pytorch workflow fundamentals with GPU: Apply in regression problem..
- Pytorch learning 02: In this notbook we apply the previous knowledge to the problems of binary classification.
- Pytorch learning 03: Now we try to use the covolutional neural network for computer vision problem with MNIST Dataset
If you are interested in contributing or providing feedback, feel free to open an issue or submit a pull request. Please see contributing guidelines for more information.
To try out the projects in this repository, follow these simple steps:
- Clone this repository:
git clone https://github.com/GubioGL/Aprendendo_pytorch.git - Navigate to the project directory:
cd Aprendendo_pytorch
Thanks for visiting my repository! I hope you find something useful and inspiring here.