Into the depths of some concepts of Artificial Intelligence and Machine Learning
Different Concepts are explained in depth to understand what is going on inside it.
I am just learning all this. All the credit goes to the main authors
Neural Net From Scratch -> https://towardsdatascience.com/building-neural-network-from-scratch-9c88535bf8e9 MNIST_Scratch -> https://www.github.com/geohot/
If you want to Understand the Maths and the Concepts behind Machine learning and its other concepts then refer to this link
https://ml-cheatsheet.readthedocs.io/en/latest/nn_concepts.html
In this, i try to learn and understand the working of Deep learning and machine Learning concepts using D2L Python Module and using its Docs to refer for the material.
http://www.d2l.ai/chapter_multilayer-perceptrons/index.html
- Working on D2L Multilayer Perceptrons
- Continuing on ML Cheetsheet Implementing
- GAN Concepts
- Implementing and Adding Transformers Comcepts
- Hands On GPU Accelerated OpenCV and ComputerVision
- Adding Different GAN Architectures
- Neural Network Framework using
Eigen
Dependency. - AI Framework for C++, CUDA.!!