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Crash Course: Basics of Artificial Intelligence for Images (101)
Introduction
What is a Brain and What is a Neural Network? (21:41)
Image Classification with "Neural Networks" in a "4 Stage Pipeline" (10:23)
Basics of Neural Networks with Pytorch
4 Components: Neural Network, Dataset and Error minimization on Compute (34:41)
Pytorch Coding: 4 Stage Pipeline - Dataset, Model, Training & Deployment (32:46)
Neural Network Capacity & 10 Stage Iterations
Number of Parameters, Network Capacity and Overfitting (25:12)
Linear Layer & Convolution Layer for Neural Network (20:54)
10 Stage Iteration (24:27)
Advanced Concepts
Transfer Learning - Road to ChatGPT (13:16)
Key Architectures: Alexnet, Resnet, Inception, etc (29:33)
Image Classification to Segmentation to Generation (13:16)
Key Architectures: Alexnet, Resnet, Inception, etc
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