tutorial 98 - deep learning terminology explained - kernel (weights) initialization and padding
Published 3 years ago • 1.9K plays • Length 22:01Download video MP4
Download video MP3
Similar videos
-
15:30
tutorial 99 - deep learning terminology explained - dropout and batch normalization
-
8:48
tutorial 105 - deep learning terminology explained - learning rate scheduler
-
14:35
tutorial 101 - deep learning terminology explained - learning curves
-
18:34
tutorial 94 - deep learning terminology explained - activation function
-
21:32
convolutional neural networks | cnn | kernel | stride | padding | pooling | flatten | formula
-
1:09:58
mit introduction to deep learning | 6.s191
-
11:38
136 understanding deep learning parameters batch size
-
11:40
why does batch norm work? (c2w3l06)
-
22:00
tutorial 93 - deep learning terminology explained - scaling
-
12:56
tutorial 11- various weight initialization techniques in neural network
-
15:20
tutorial 102 - deep learning terminology explained - what is training, testing and validation data
-
14:37
tutorial 97 - deep learning terminology explained - batch size, iterations and epochs
-
4:10
weight initialization for deep feedforward neural networks
-
44:01
tutorial 96 - deep learning terminology explained - back propagation and optimizers
-
6:12
weight initialization in a deep network (c2w1l11)
-
10:12
weight initialization explained | a way to reduce the vanishing gradient problem
-
10:52
components of neural network|neural network weight, bias, layers, activation