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Lecture Recordings

Explore our latest lecture series on AI and machine learning.

ML Mondays #8 : Convolutional Neural Networks image

ML Mondays #8 : Convolutional Neural Networks

Learn about Layers, Filters, and Sampling/Pooling.

November 3rd, 2025

ML Mondays #7 : Training Deep Neural Networks image

ML Mondays #7 : Training Deep Neural Networks

Transfer Learning and Building a Neural Network with pytorch.

October 27th, 2025

ML Mondays #6: Training Neural Networks image

ML Mondays #6: Training Neural Networks

Neurons, Gradient Descent, Hyperparameters, and more.

October 20th, 2025

ML Mondays #5: Feed Forward Neural Networks image

ML Mondays #5: Feed Forward Neural Networks

Structure of Feed Forward Neural Networks, Activation Functions, and Backpropagation.

October 13th, 2025

ML Mondays #4: Optimization and Gradient Descent image

ML Mondays #4: Optimization and Gradient Descent

An in-depth look at optimization techniques, gradient descent, and learning rates.

October 6th, 2025

ML Mondays #3: Logistic Regression image

ML Mondays #3: Logistic Regression

An overview of Logistic Regression, Sigmoid Functions, Cross Entropy Loss, and more.

September 29th, 2025

ML Mondays #2: Linear Regression image

ML Mondays #2: Linear Regression

A look into Linear Regression, biases and variances, and loss functions.

September 22nd, 2025

ML Mondays #1: What is AL/ML? image

ML Mondays #1: What is AL/ML?

An introductory lecture on Artificial Intelligence and Machine Learning concepts.

September 15th, 2025