convolutional neural networks Videos

How Do CNNs See Objects at EVERY Scale?

CodeEmporium

Convolutional neural networks (CNNs) have evolved significantly from their early iterations like LeNet to become powerful tools for complex visual tasks such as object detection and segmentation. Initially, these models relied on simple sequences of convolution, pooling, and fully connected layers t …

Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)

Lex Fridman

Andrej Karpathy from OpenAI delivered a comprehensive overview of deep learning's evolution in computer vision, tracing its trajectory from early biological experiments to modern state-of-the-art architectures. He began by highlighting how Convolutional Neural Networks (CNNs) leverage the structural …

MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task

Lex Fridman

The lecture introduces Convolutional Neural Networks (CNNs) as a specialized form of machine learning designed to process images, which are fundamentally treated as collections of numerical pixel values ranging from 0 to 255. Unlike standard neural networks that treat inputs as flat vectors, CNNs le …

Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36

Lex Fridman

In this episode of *The Lex Fridman Podcast*, Yann LeCun, a Turing Award winner and founding father of convolutional neural networks (ConvNets), explores the intersection of deep learning, ethics, and artificial general intelligence (AGI). The conversation begins with an analysis of HAL 9000 from *2 …