l4.4 notational conventions for neural networks
Published 3 years ago • 3.3K plays • Length 11:53Download video MP4
Download video MP3
Similar videos
-
2:11
l4.0 linear algebra for deep learning -- lecture overview
-
12:42
l4.5 a fully connected (linear) layer in pytorch
-
15:48
l10.4 l2 regularization for neural nets
-
0:35
neural network demo animation
-
25:28
watching neural networks learn
-
54:51
how to create a neural network (and train it to identify doodles)
-
7:14
neural network learns to play snake
-
13:03
l4.1 tensors in deep learning
-
6:43
l5.7 training an adaptive linear neuron (adaline)
-
7:21
l2.4 the deep learning hardware & software landscape
-
0:18
transformers | basics of transformers
-
0:36
pytorch or tensorflow? which should you learn!
-
20:20
l13.4 convolutional filters and weight-sharing
-
0:45
cross attention vs self attention
-
9:34
l15.4 backpropagation through time overview
-
28:33
conditional ordinal regression for neural networks (corn) with examples in pytorch
-
1:00
bert vs gpt
-
0:26
i can't stop reading these machine learning books!
-
13:40
l15.2 sequence modeling with rnns
-
1:00
pytorch vs tensorflow