Deep Learning and Practical Issues
Introduction to DL and Toolchain Convolutional Neural Networks Auto Encoders
Closer Look at AIML Algorithms
Simple Linear Algorithms, Optimization and Training Non linear Solutions and
Problem Formulation and Solving
Formulating real world problems as AI and ML problems Classification
