Graph Attention Networks (GAT)
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4/5
Réseaux neuronaux et systèmes flous
Thema UYQN
![[Generative AI in Urdu/Hindi] Lecture 13: LSTMs, bi-directional, multi-layer, teacher forcing.](https://i.ytimg.com/vi/w8ifNHyUVxI/maxresdefault.jpg)
MLP Live session | Week 2
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3/5
![[Generative AI in Urdu/Hindi] Lecture 12: RNN variations, its issues, possible solutions. LSTMs.](https://i.ytimg.com/vi/aQRcM6g_mJw/maxresdefault.jpg)
MLP Project Orientation | 26T1
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3/5
![[Generative AI in Urdu/Hindi] Lecture 11: RNNs training, derivations, applications and more!](https://i.ytimg.com/vi/xvFnn_dDJK0/maxresdefault.jpg)
PyTorch Tutorial
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4/5
Lec 09. Hacker's Guide to Deep Learning
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4/5
Lec 08. Architectures: Transformers
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5/5
Lec 05. Architectures: Graphs
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5/5
Lec 04. Architectures: Grids
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5/5
Lec 03. Approximation Theory
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5/5
Lec 02. How to Train a Neural Net
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5/5
Lec 01. Introduction to Deep Learning
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5/5
![[Generative AI in Urdu/Hindi] Lecture 10: Feed-forward NNs, pooling layer, sequence modelling, RNNs](https://i.ytimg.com/vi/INcVmFLzpU4/maxresdefault.jpg)
Manifold Constrained HyperConnections
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4/5
Lec 14: Convolutional Neural Network - I
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4/5
![[Generative AI in Urdu/Hindi] Lecture 9: Developing a complete feed-forward neural network](https://i.ytimg.com/vi/JjeDSKMTJdw/maxresdefault.jpg)
Lec 9: Introduction to Deep Learning - I
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4/5
AlphaGenome author roundtable
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4/5
Lec 7: Neural Network - II (Multi Layer Perceptron)
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4/5
Lec 6: Neural Network - I (Single Layer Perceptron)
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4/5
7: Deep Learning for Natural Language – Transformers
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5/5
MLP Live session
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3/5
