Brandon Rohrer Courses

How Convolutional Neural Networks Work

1 rating

A gentle tour of how convolutional neural networks detect local patterns through filtering, pooling, normalization, and stacked layers to classify images.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

How Data Science Works

A no-math, no-computer introduction to the concrete concepts and workflow behind data science, from asking sharp questions to building models and making predictions.

• YouTube
• 1 hour
• Self-Paced
• Free Video

How K-Nearest Neighbors Works

Explore how k-nearest neighbors handles classification and regression, including the effects of k, feature scaling, distance metrics, categorical data, and computational cost.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

How Convolution Works

A visual, element-by-element tour of 2D convolution shows how kernels detect features, replicate patterns, blur images, and sharpen them.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

The Four Grand Challenges of Robots in the Home

Examines four challenges for useful home robots: protecting family data, understanding human needs, completing tasks, and handling household environments.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

How Convolutional Neural Networks Work, in Depth

An in-depth walkthrough of how convolutional neural networks match image features, build layered representations, and learn to classify patterns.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

How Data Science Works

A plain-English tour of the end-to-end data science cycle, from collecting data and asking sharp questions to modeling, judgment, and iteration.

• YouTube
• 50 minutes
• Self-Paced
• Free Video