[ TAG 75 ][05.07.2021] - Fehlgeschlagen - Linkliste-NeuronaleNetzwerke-Kurse
Ich habe hier einige Videokurse rausgesucht. Diese sollte ich in den kommenden Wochen durcharbeiten.
- 04 PyTorch tutorial - How do computational graphs and autograd in PyTorch work
- 10 PyTorch tutorial - What is LeNet 5 and how to implement it in PyTorch
- Deep Learning: A Crash Course
- Deep Reinforcement Learning in Python Tutorial - A Course on How to Implement Deep Learning Papers
- Reinforcement Learning Course - Full Machine Learning Tutorial
- How Deep Neural Networks Work - Full Course for Beginners
- Neural Network Architectures & Deep Learning
- Aber was *ist* nun ein neuronales Netzwerk? | Teil 1, Deep Learning
- Gradient descent, how neural networks learn | Chapter 2, Deep learning
- Was macht Backpropagation wirklich? | Kapitel 3, "Deep Learning"
- Backpropagation Infinitesimalrechnung | Deep Learning, Kapitel 4
- Back Propagation in Neural Network with an Example | Machine Learning (2019)
- 3Blue1Brown: Linear Alg (Playlist)
- Essence of linear algebra
- https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
- https://www.youtube.com/results?search_query=Essenz+der+linearen+Algebra%2C+Kapitel+1
- A friendly introduction to linear algebra for ML (ML Tech Talks)
- MIT 6.S191: Recurrent Neural Networks
- MIT 6.S191 (2020): Introduction to Deep Learning
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