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0:00 Welcome Address 2:43 The Erlangen Programme 7:46 Geometric Deep Learning - Introduction 8:04 Learning in High ...

Go to https://course.fast.ai for code, notebooks, quizzes, etc. This course is designed for people with some coding experience who ...

Description In this video I review my favorite deep learning book. I like that it covers advanced topics in deep learning and also ...

to get started with AI engineering, check out this Scrimba course: ...

All lesson resources are available at http://course.fast.ai.) In this lesson, we dive into backpropagation and the creation of a simple ...

Deep Learning for SAR Image Analysis 9 October 2025 by Michael Schmitt University of the Bundeswehr Munich In this talk, the ...

You can book One to one consultancy session with me on Mentoga: https://mentoga.com/muhammadaammartufail #codanics ...

Deep Learning is a subset of machine learning that involves neural networks with multiple layers (deep neural networks).

You can book One to one consultancy session with me on Mentoga: https://mentoga.com/muhammadaammartufail #codanics ...

Course website: https://bit.ly/DLSP20-web Playlist: http://bit.ly/pDL-YouTube Speaker: Yann LeCun Week 1: ...

Part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193 An ...

All lesson resources are available at http://course.fast.ai.) In this lesson, we discuss the importance of weight initialization in neural ...

There's one specific role that builds a bridge between data science and its practical counterpart, machine learning. Meet the ...

All lesson resources are available at http://course.fast.ai.) In this lesson, we dive into mixed precision training and experiment with ...

Welcome to ML Explained – your ultimate resource for mastering Machine Learning, AI, and Software Engineering! What We ...

Data is one of the main factors determining whether machine learning projects will succeed or fail. That's why it is necessary to ...

Attention mechanism and self-attention, Sequence-to-sequence models This video provides an in-depth exploration of Attention ...

Regularization is a set of techniques that can prevent overfitting in neural networks and thus improve the accuracy of a Deep ...

All lesson resources are available at http://course.fast.ai.) This is the first lesson of part 2 of Practical Deep Learning for Coders.