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

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

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 ...

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

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 ...

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 ...

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

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

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

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

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

GET YOUR COPY of Deep Learning with Python, by Francois Chollet using this link: On Amazon: https://amzn.to/3OBOFFC We're ...

In this video, we'll break down the different types of neural networks, take a journey through the history of deep learning, and ...

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

Machine learning is all around us; on our phones, powering social networks, helping the police and doctors, scientists and mayors ...