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1. karpathy.ai › zero-to-heroNeural Networks: Zero To Hero - Karpathy

   karpathy.ai › zero-to-hero

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   Neural Networks: Zero to Hero. A course by Andrej Karpathy on building neural networks, from scratch, in code. We start with the basics of backpropagation and build up to modern deep neural networks, like GPT.

2. Videos

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     1:25:17

     youtube.com

     Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)

     Sep 27, 2016

     168.3K Views

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     5:48

     youtube.com

     Advice for machine learning beginners | Andrej Karpathy and Lex Fridman

     Oct 31, 2022

     812.7K Views

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     15:11

     youtube.com

     Heroes of Deep Learning: Andrew Ng interviews Andrej Karpathy

     Aug 8, 2017

     170.5K Views

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3. cs.stanford.edu › people › karpathyAndrej Karpathy Academic Website - Stanford University

   cs.stanford.edu › people › karpathy

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   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 and has grown from 150 enrolled in 2015 to 330 students in 2016, and 750 students in 2017 .

4. github.com › karpathy › nn-zero-to-heroGitHub - karpathy/nn-zero-to-hero: Neural Networks: Zero to Hero

   github.com › karpathy › nn-zero-to-hero

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   A course on neural networks that starts all the way at the basics. The course is a series of YouTube videos where we code and train neural networks together. The Jupyter notebooks we build in the videos are then captured here inside the lectures directory.

5. People also ask

   What is a deep learning course?

   • This course is a deep dive into the details of deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. During the 10-week course, students will learn to implement and train their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.

   Stanford University CS231n: Deep Learning for Computer Vision

   cs231n.stanford.edu/

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   How many students enrolled in a deep learning course at Stanford?

   • The class was the first Deep Learning course offering at Stanford and has grown from 150 enrolled in 2015 to 330 students in 2016, and 750 students in 2017 . On a side for fun I blog, blog more, and tweet. I developed a number of Deep Learning libraries in Javascript (e.g. ConvNetJS, RecurrentJS, REINFORCEjs, t-sneJS) because I love the web.

   Andrej Karpathy Academic Website - Stanford University

   cs.stanford.edu/people/karpathy/

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   What is deep learning in visual recognition?

   • Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This course is a deep dive into the details of deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification.

   Stanford University CS231n: Deep Learning for Computer Vision

   cs231n.stanford.edu/

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6. cs231n.stanford.eduStanford University CS231n: Deep Learning for Computer Vision

   cs231n.stanford.edu

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   During the 10-week course, students will learn to implement and train their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.

7. cs.stanford.edu › people › karpathyConvNetJS: Deep Learning in your browser - Stanford University

   cs.stanford.edu › people › karpathy

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   ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.

8. www.youtube.com › watchStanford CS224N: NLP with Deep Learning | Winter 2019 ...

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   Mar 11, 2019 · 8.8K. 796K views 5 years ago Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019. For more information about Stanford’s Artificial Intelligence professional...

   • Video Duration: 82 min
   • Views: 797.6K

   • Author: Stanford Online