ADVANCED COURSE DURATION- 90 DAYS – OFF LINE (LIVE CLASSES)
Deep Dive AI
Understanding the algorithms (especially the math)
Implement the algorithms
– KNN
– SVM, Kernel Methods
– Decision Trees, bagging and boosting
Introduction to Neural Networks
Overview
-Pytorch overview
-Implementation using libraries
-Loss Functions, optimization choices
-Applications to classification
Advanced Neural Networks
-The math of Neural Networks
-Optimization
-Implementation from scratch
-Visualization
Neural Networks Spectrum
-Autoencoders
-CNNs
-RNNs
-LSTMs
Pretrained networks
-Applications
ML Capstone
-Project based learning
GANs
LLMs
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