To visualize NN

• http://alexlenail.me/NN-SVG/AlexNet.html

How to deploy your trained ML model into local Web APP Using Flask

• https://www.youtube.com/watch?v=bluclMxiUkA

Everything You Want to Know About ONNX

• https://www.youtube.com/watch?v=cK5AyawZSUI

How to Run PyTorch Models in the Browser With ONNX.js

• https://www.youtube.com/watch?v=Vs730jsRgO8

fastdash and ONNX WASM

• https://pypi.org/project/fast-dash/

How to run AIML based models in Mac Book Pro

• https://til.simonwillison.net/llms/llama-7b-m2

• https://www.anyscale.com/blog/llama-2-is-about-as-factually-accurate-as-gpt-4-for-summaries-and-is-30x-cheaper

• https://www.deeplearning.ai/the-batch/issue-212/

• https://www.deeplearning.ai/the-batch/issue-212/

How to visualize Neural Net

• https://github.com/lutzroeder/Netron
• https://onnx.ai/supported-tools.html#deployModel

Book 1: Deep Learning

• Youtube Video: https://www.youtube.com/watch?v=vi7lACKOUao&list=PLbBjZEwyU7W1CDs3Vx_GOJ9b3EgYQB3GE
• Search in Youtube with "deep learning book by Ian goodfellow chapters"

How to create iOS based app for MNIST

• https://www.liip.ch/en/blog/numbers-recognition-mnist-on-an-iphone-with-coreml-from-a-to-z
• https://medium.com/comet-ml/real-time-numbers-recognition-mnist-on-an-iphone-with-coreml-from-a-to-z-283161441f90
• https://github.com/r4ghu/iOS-CoreML-MNIST/tree/master
• https://developer.apple.com/documentation/coreml/getting_a_core_ml_model