Programming for AI
Lecture1-Python_notebook_dependencies.pptxLecture 1- Python notebook and dependencies
Lecture 1- Python notebook and dependencies
Lecture2-Version_Control.pptxLecture 2 - Version Control using Git
Lecture 2 - Version Control using Git
Lecture 4 - Numpy Matplotlib
Lecture 4 - Numpy Matplotlib
Lecture 5 - Linear Algebra I
Lecture 5 - Linear Algebra I
Lecture 6 - Linear Algebra II
Lecture 6 - Linear Algebra II
Lecture 7 - Linear Algebra III
Lecture 7 - Linear Algebra III
Lecture 8 - Linear Algebra IV
Lecture 8 - Linear Algebra IV
Lecture 9 - Linear Algebra V
Lecture 9 - Linear Algebra V
Lecture 10 - Eigen Value Decomposition
Lecture 10 - Eigen Value Decomposition
Lecture 11 - Abstract Vector Spaces
Lecture 11 - Abstract Vector Spaces
Lecture 12 - OpenCV Image Operations
Lecture 12 - OpenCV Image Operations
Lecture 13 - Principle Component Analysis
Lecture 13 - Principle Component Analysis
Lecture 14 - Singular Value Decomposition
Lecture 14 - Singular Value Decomposition
Lecture 15 - Linear Regression using Gradient Descent
Lecture 15 - Linear Regression using Gradient Descent
Lecture 16 - Linear Regression using Analytical Method
Lecture 16 - Linear Regression using Analytical Method
Lecture 17 - L2 Regularization
Lecture 17 - L2 Regularization
Lecture 18 - L1 Regularization
Lecture 18 - L1 Regularization
Lecture 19 - Intro to Neural Nets
Lecture 19 - Intro to Neural Nets
Lecture 19 - Forward Prop in Neural Nets
Lecture 19 - Forward Prop in Neural Nets
Lecture 20 - Back Prop in Neural Nets
Lecture 20 - Back Prop in Neural Nets
Lecture 21 - CNNs
Lecture 21 - CNNs
Lecture 22 - Backprop in CNNs
Lecture 22 - Backprop in CNNs
Lecture 23 - Batch Norm & Transfer Learning
Lecture 23 - Batch Norm & Transfer Learning
Lecture 24 - NN Example in Numpy
Lecture 24 - NN Example in Numpy