My playground to learn about Artificial Intelligence.
current interest:
API:
PyTorch: META: https://pytorch.org/docs/stable/index.html
TensorFlow (TF): https://www.tensorflow.org/tutorials
Keras: Part of the TF API. https://www.tensorflow.org/guide/keras
PaddlePaddle: (??API) https://www.paddlepaddle.org.cn/
Caffe: This may be a legacy API for machine learning
MXNet: Apache API. this project has been retired: https://mxnet.apache.org/versions/1.9.1/api/python/docs/api/gluon/index.html
AUTOMATIC DIFFERENTIATION:
https://youtu.be/he_86Y4lQLw?si=sIQCbEmrctdi-L_W
https://youtu.be/wG_nF1awSSY?si=DojP0owgwKg5VwwV
Machine Learning - Neural network Basics:
https://www.youtube.com/watch?v=A1DvpJhwSek
DATASET:
creation, acquisition, labeling, structure
PROMPT ENGINEERING:
PromptEngineering.txt - Notes from an AWS Prompt Engineering course
Git Resource:
https://github.com/dair-ai/Prompt-Engineering-Guide/tree/main/guides