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What are the neurons, why are there layers, and what is the math underlying it? Help fund future projects: ...

What's actually happening to a neural network as it learns? Help fund future projects: https://www.patreon.com/3blue1brown An ...

Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University https://stanford.io/3eJW8yT Andrew Ng Adjunct ...

Going all the way from Linear Regression to Neural Networks / Deep Learning and Unsupervised Learning. Also Watch: How to ...

Demystifying attention, the key mechanism inside transformers and LLMs. Instead of sponsored ad reads, these lessons are ...

For the next few weeks of AI Show, we are taking a bit of a different tack (let us know if you want more or less of this kind of ...

... talk about backpropagation – an algorithm powering the entire field of machine learning and try to derive it from first principles.

Curious about deep learning? Start with the Fundamentals of Deep Learning booklet to learn the essentials in 25 pages ...

Keywords: rosenblatt, AI, Artificial Intelligence, Neural Networks, Backpropagation, Machine Learning, Network Training, Data ...

Mamba is an exciting LLM architecture that, when used with Transformers, might introduce new capabilities we haven't seen ...

Presentation at O'Reilly AI conference in San Francisco, September 19 2017.

Take the Deep Learning Specialization: http://bit.ly/2TF1B06 Check out all our courses: https://www.deeplearning.ai Subscribe to ...

Abstract: In this session, we will be transitioning from traditional machine learning approaches towards deep learning. We will start ...

For those just getting into machine learning and deep learning, this is a guide in plain English with helpful visuals to help you grok ...

Breaking down how Large Language Models work, visualizing how data flows through. Instead of sponsored ad reads, these ...

Cost functions and training for neural networks. Help fund future projects: https://www.patreon.com/3blue1brown Special thanks to ...

Reinforcement learning (RL) has wide applications: It was used to train self-driving cars, and it enabled AI to beat humans in ...

K Nearest Neighbors is one of the simplest machine learning algorithms used for regression and classification tasks. It includes a ...

... This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/3mjJxu3B0zA The complete playlist: ...

If you want to avail the membership please follow the below link, ...

First lecture of ebook.

Provides an intuitive explanation for what deep learning models are doing when they find an 'efficient feature representation' Full ...