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Dive into Deep Learning D2L at WAIC'20
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State of the Dive into Deep Learning Project D2L, now supporting all three major frameworks - TensorFlow, PyTorch and MXNet. 175 notebooks. 1000 pages in print.
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Dive into Deep Learning D2L at WAIC'20
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Installation of Dive into Deep Learning
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Exploring the Python Library from 'Dive into Deep Learning' (d2l)
1:23:46
Dive into Deep Learning: Coding Session #1 – Setup & MLP (APAC)
0:27:33
Dive into Deep Learning: Coding Session #2 – CNN model (APAC)
1:04:12
Dive Into Deep Learning Session 1 | Introduction
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Dive into Deep Learning: Coding Session #1 – Setup & MLP (Americas/EMEA)
1:31:37
Dive into Deep Learning: Coding Session #2 – CNN model (Americas/EMEA)
2:22:15
Dive into Deep Learning (Study Group): Modern CNNs | Session 7
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DL-02 | Installazione e Notazioni - Corso Dive into Deep Learning - PyTorch
1:26:42
DL-03 | Capitolo 1. Introduzione - Dive into Deep Learning
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Dive into Deep Learning (Study Group): Convolutional Neural Networks | Session 6
1:29:51
Dive into Deep Learning: Coding Session #5 Attention Mechanism II (APAC)
1:23:19
Dive into Deep Learning: Coding Session #3– RNN model (APAC)
2:04:31
Dive into Deep Learning (Study Group): Preliminaries | Session 2
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DL-01 | Struttura corso Dive into Deep Learning - PyTorch
1:41:55
Dive into Deep Learning (Study Group): Deep Learning Computation with PyTorch | Session 5
1:39:43
Dive into Deep Learning: Coding Session #4 Attention Mechanism I (Americas/EMEA)
1:31:05
Dive into Deep Learning: Coding Session#5 Attention Mechanism II (Americas/EMEA)
1:23:25
Dive into Deep Learning: Coding Session #4 Attention Mechanism I (APAC)
0:31:23
Dive into Deep Learning - Lecture 1: PyTorch Tensor Basics, Operations, Functions, and Broadcasting
1:31:35
Dive into Deep Learning: Coding Session #3– RNN model (Americas/EMEA)
0:45:12
Dive into Deep Learning reading group (4:30PM GMT+2, 06/10/2020): Tensor operations using PyTorch -
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Dive into Deep Learning (Study Group): Linear Neural Networks | Session 3
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