Exploring Deeplearning

I’ve been immersing myself in PyTorch and fastAI for some time. Everything I’ve absorbed can be categorized into three main areas: FastAI setup, the FastAI course, and deep learning.

Author

Benedict Thekkel

Published

April 26, 2024

Fast AI Setup

https://bthek1.github.io/FastAISetup/

The repo FastAISetup contains a complete breakdown and setup process for your computer to be able to use for AI development

Instruction on setting up:

Computer WSL environment
Conda environment
Nbdev installation
Quarto installation
Pytorch installation
FastAI setup
FastAI testing
Juptyer guide for future reference
Latex installation

Fast AI course

https://bthek1.github.io/fastAIcourse/

Fast AI course, as its named is my recreation of FastAI course by Jeremy Howard. Theres are the notes I used to learn and experiement in the contents of the course.
Includes:

Exploring FastAI
Deploying using Hugging Face
Developing FastAI from scratch
Developing Diffusion Models
Developing Resnet Models

Deep Learning from Scratch

https://bthek1.github.io/DeepLearning/

Deep Learning is the repo dedicated to learning the low level coding of Deep Learning models. It will also dive deeper into Image classification, detection, and segmentation in the future.