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github.com/Jack-Cherish/Deep-Learning
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Functions
315 in github.com/Jack-Cherish/Deep-Learning
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Functions
315
◇
Types & classes
61
Method
__init__
(self, data_path)
Pytorch-Seg/lesson-2/utils/dataset.py:9
Method
__init__
(self, in_channels, out_channels)
Pytorch-Seg/lesson-2/model/unet_parts.py:12
Method
__init__
(self, in_channels, out_channels)
Pytorch-Seg/lesson-2/model/unet_parts.py:30
Method
__init__
(self, in_channels, out_channels)
Pytorch-Seg/lesson-2/model/unet_parts.py:69
Method
__init__
(self, n_channels, n_classes, bilinear=True)
Pytorch-Seg/lesson-2/model/unet_model.py:10
Method
__init__
(self, in_channels, out_channels)
Pytorch-Seg/lesson-1/unet_parts.py:12
Method
__init__
(self, in_channels, out_channels)
Pytorch-Seg/lesson-1/unet_parts.py:30
Method
__init__
(self, in_channels, out_channels)
Pytorch-Seg/lesson-1/unet_parts.py:71
Method
__init__
(self, n_channels, n_classes, bilinear=False)
Pytorch-Seg/lesson-1/unet_model.py:10
Method
__init__
(self)
Pytorch-Seg/lesson-4/train.py:160
Method
__init__
(self, txt_path, train_flag=True)
Pytorch-Seg/lesson-4/dataset.py:12
Method
__len__
(self)
Pytorch-Seg/lesson-2/utils/dataset.py:42
Method
__len__
(self)
Pytorch-Seg/lesson-4/dataset.py:65
Method
__repr__
(self)
Tutorial/lesson-6/cnn.py:106
Method
__repr__
(self)
Tutorial/lesson-5/cnn.py:106
Method
__repr__
(self)
Tutorial/lesson-4/cnn.py:106
Method
__str__
打印节点的信息
Tutorial/lesson-3/bp.py:66
Method
__str__
打印节点的信息
Tutorial/lesson-3/bp.py:99
Method
__str__
打印连接信息
Tutorial/lesson-3/bp.py:165
Method
__str__
打印学习到的权重、偏置项
Tutorial/lesson-2/perceptron.py:17
Method
__str__
打印学习到的权重、偏置项
Tutorial/lesson-1/perceptron.py:17
Method
append_downstream_connection
添加一个到下游节点的连接
Tutorial/lesson-3/bp.py:86
Method
backward
(self, input_array, sensitivity_array)
Tutorial/lesson-6/cnn.py:299
Method
backward
(self, output)
Tutorial/lesson-6/activators.py:12
Method
backward
(self, output)
Tutorial/lesson-6/activators.py:20
Method
backward
(self, output)
Tutorial/lesson-6/activators.py:28
Method
backward
(self, output)
Tutorial/lesson-6/activators.py:36
Method
backward
反向计算W和b的梯度 delta_array: 从上一层传递过来的误差项
Tutorial/lesson-3/fc.py:33
Method
backward
(self, output)
Tutorial/lesson-7/activators.py:12
Method
backward
(self, output)
Tutorial/lesson-7/activators.py:20
Method
backward
(self, output)
Tutorial/lesson-7/activators.py:28
Method
backward
(self, output)
Tutorial/lesson-7/activators.py:36
Method
backward
(self, input_array, sensitivity_array)
Tutorial/lesson-5/cnn.py:299
Method
backward
(self, output)
Tutorial/lesson-5/activators.py:12
Method
backward
(self, output)
Tutorial/lesson-5/activators.py:20
Method
backward
(self, output)
Tutorial/lesson-5/activators.py:28
Method
backward
(self, output)
Tutorial/lesson-5/activators.py:36
Method
backward
(self, input_array, sensitivity_array)
Tutorial/lesson-4/cnn.py:299
Method
backward
(self, output)
Tutorial/lesson-4/activators.py:12
Method
backward
(self, output)
Tutorial/lesson-4/activators.py:20
Method
backward
(self, output)
Tutorial/lesson-4/activators.py:28
Method
backward
(self, output)
Tutorial/lesson-4/activators.py:36
Method
calc_hidden_layer_delta
节点属于隐藏层时,根据式4计算delta
Tutorial/lesson-3/bp.py:91
Method
calc_output
计算层的输出向量
Tutorial/lesson-3/bp.py:125
Method
char2pos
(c)
Discuz/train.py:174
Method
dump
(self)
Tutorial/lesson-3/bp.py:181
Method
dump
打印网络信息
Tutorial/lesson-3/bp.py:265
Method
dump
(self)
Tutorial/lesson-3/fc.py:112
Function
f
定义激活函数f
Tutorial/lesson-2/perceptron.py:63
Function
f
定义激活函数f
Tutorial/lesson-1/perceptron.py:63
Method
flush
(self)
Pytorch-Seg/lesson-3/log.py:12
Method
forward
(self, input_array)
Tutorial/lesson-6/cnn.py:289
Method
forward
(self, weighted_input)
Tutorial/lesson-6/activators.py:8
Method
forward
(self, weighted_input)
Tutorial/lesson-6/activators.py:17
Method
forward
(self, weighted_input)
Tutorial/lesson-6/activators.py:25
Method
forward
(self, weighted_input)
Tutorial/lesson-6/activators.py:33
Method
forward
前向计算 input_array: 输入向量,维度必须等于input_size
Tutorial/lesson-3/fc.py:24
Method
forward
(self, weighted_input)
Tutorial/lesson-7/activators.py:8
Method
forward
(self, weighted_input)
Tutorial/lesson-7/activators.py:17
Method
forward
(self, weighted_input)
Tutorial/lesson-7/activators.py:25
Method
forward
(self, weighted_input)
Tutorial/lesson-7/activators.py:33
Method
forward
(self, input_array)
Tutorial/lesson-5/cnn.py:289
Method
forward
(self, weighted_input)
Tutorial/lesson-5/activators.py:8
Method
forward
(self, weighted_input)
Tutorial/lesson-5/activators.py:17
Method
forward
(self, weighted_input)
Tutorial/lesson-5/activators.py:25
Method
forward
(self, weighted_input)
Tutorial/lesson-5/activators.py:33
Method
forward
(self, input_array)
Tutorial/lesson-4/cnn.py:289
Method
forward
(self, weighted_input)
Tutorial/lesson-4/activators.py:8
Method
forward
(self, weighted_input)
Tutorial/lesson-4/activators.py:17
Method
forward
(self, weighted_input)
Tutorial/lesson-4/activators.py:25
Method
forward
(self, weighted_input)
Tutorial/lesson-4/activators.py:33
Method
forward
(self, x)
Pytorch-Seg/lesson-2/model/unet_parts.py:23
Method
forward
(self, x)
Pytorch-Seg/lesson-2/model/unet_parts.py:37
Method
forward
(self, x1, x2)
Pytorch-Seg/lesson-2/model/unet_parts.py:55
Method
forward
(self, x)
Pytorch-Seg/lesson-2/model/unet_parts.py:73
Method
forward
(self, x)
Pytorch-Seg/lesson-2/model/unet_model.py:27
Method
forward
(self, x)
Pytorch-Seg/lesson-1/unet_parts.py:23
Method
forward
(self, x)
Pytorch-Seg/lesson-1/unet_parts.py:37
Method
forward
(self, x1, x2)
Pytorch-Seg/lesson-1/unet_parts.py:55
Method
forward
(self, x)
Pytorch-Seg/lesson-1/unet_parts.py:75
Method
forward
(self, x)
Pytorch-Seg/lesson-1/unet_model.py:27
Method
get_gradient
获取当前的梯度
Tutorial/lesson-3/bp.py:154
Function
gradient_check
梯度检查
Tutorial/lesson-6/cnn.py:378
Function
gradient_check
梯度检查
Tutorial/lesson-6/lstm.py:282
Function
gradient_check
梯度检查 network: 神经网络对象 sample_feature: 样本的特征 sample_label: 样本的标签
Tutorial/lesson-3/bp.py:272
Function
gradient_check
梯度检查
Tutorial/lesson-3/fc.py:207
Function
gradient_check
梯度检查
Tutorial/lesson-7/recursive.py:134
Function
gradient_check
梯度检查
Tutorial/lesson-5/cnn.py:378
Function
gradient_check
梯度检查
Tutorial/lesson-5/rnn.py:103
Function
gradient_check
梯度检查
Tutorial/lesson-4/cnn.py:378
Method
set_output
设置层的输出。当层是输入层时会用到。
Tutorial/lesson-3/bp.py:119
Function
test
()
Tutorial/lesson-6/cnn.py:365
Function
test
()
Tutorial/lesson-6/lstm.py:323
Function
test
()
Tutorial/lesson-3/fc.py:191
Function
test
()
Tutorial/lesson-7/recursive.py:175
Function
test
()
Tutorial/lesson-5/cnn.py:365
Function
test
()
Tutorial/lesson-5/rnn.py:143
Function
test
()
Tutorial/lesson-4/cnn.py:365
Function
test_bp
()
Tutorial/lesson-6/cnn.py:370
Function
test_bp
()
Tutorial/lesson-5/cnn.py:370
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