Stanford University CS231n: Deep Learning for Computer Vision
CS231n: Convolutional Ne…
During the 10-week course, students will learn to implement, train and debug their …
Andrej Karpathy Academic …
Together with Fei-Fei, I designed and was the primary instructor for a new Stanford …
Convolutional Neural Netw…
Learn to code, debug, and train convolutional neural networks. What are …
Lecture 1: Introduction - Stan…
Fei-Fei Li & Andrej Karpathy & Justin Johnson CS231n focuses on one of the …
CS231n: Convolutional Ne…
Understand how to write from scratch, debug and train convolutional neural …
CS231n: Convolutional Neural Networks for Visual …
During the 10-week course, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Andrej Karpathy Academic Website - Computer Science
Together with Fei-Fei, I designed and was the primary instructor for a new Stanford class on Convolutional Neural Networks for Visual Recognition (CS231n). The class was the first Deep Learning course offering at Stanford …
CS231n Winter 2016: Lecture1: Introduction and Historical Context
Andrej Karpathy
CS231n Convolutional Neural Networks for Visual Recognition
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CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1
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