Programming for AI

Lecture1-Python_notebook_dependencies.pptx

Lecture 1- Python notebook and dependencies

Lecture2-Version_Control.pptx

Lecture 2 - Version Control using Git

Lecture 4 - Numpy Matplotlib

Lecture 5 - Linear Algebra I

Lecture 6 - Linear Algebra II

Lecture 7 - Linear Algebra III

Lecture 8 - Linear Algebra IV

Lecture 9 - Linear Algebra V

Lecture 10 - Eigen Value Decomposition

Lecture 11 - Abstract Vector Spaces

Lecture 12 - OpenCV Image Operations

Lecture 13 - Principle Component Analysis

Lecture 14 - Singular Value Decomposition

Lecture 15 - Linear Regression using Gradient Descent

Lecture 16 - Linear Regression using Analytical Method

Lecture 17 - L2 Regularization

Lecture 18 - L1 Regularization

Lecture 19 - Intro to Neural Nets

Lecture 19 - Forward Prop in Neural Nets

Lecture 20 - Back Prop in Neural Nets

Lecture 21 - CNNs

Lecture 22 - Backprop in CNNs

Lecture 23 - Batch Norm & Transfer Learning

Lecture 24 - NN Example in Numpy

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