Review notes can be found here (please feel free to leave any comments and suggestion and correction).
I will try to cover as much as I can. However, this repo is not meant to give you any advanced information or make you an expert at a particular subject.
This can be simply understood as my summarization of techniques and methods both theoretical and practical on Deep Learning, including PyTorch and TensorFlow.
I will finalized the repo structure onced I have gone over my notes
Notes: items being crossed off means that they are included but might not completely cover the subject matter.
Concepts:
- Deep Learning in general
- Activation functions
- Hyperparameters tuning
- Image recognition
- Image segmentation
- NLP
Frameworks:
- PyTorch
- TensorFlow
- FastAI
I purposely use Windows 11 š¤® because I'm too lazy to setup dual-boot on my laptop. Therefore, this instructions will be geared towards W11.
As of March 20th, 2023, PyTorch supports CUDA 11.8 so we will start from there.
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118Other libs:
- ml-collections
- sklearn
- tensorboard
- tqdm
- einops
- Pillow