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numpy-deeplearning
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02 Python 基础资料
02 Python 基础资料
03 面向对象资料
03 面向对象资料
04 项目实战资料
04 项目实战资料
GANs,对抗神经网络
GANs,对抗神经网络
GPUCache
GPUCache
d2l-zh (1)
d2l-zh (1)
deep learning.assets
deep learning.assets
first project
first project
project
project
yolo3-pytorch-master
yolo3-pytorch-master
吴恩达作业
吴恩达作业
李宏毅dl.assets
李宏毅dl.assets
李沐
李沐
李沐带着读论文(含方法,不记得可以看看最前面).assets
李沐带着读论文(含方法,不记得可以看看最前面).assets
部分网络的代码范例
部分网络的代码范例
.ipynb.md
.ipynb.md
1.png
1.png
12.png
12.png
123.gif
123.gif
2.png
2.png
Adam公式.bmp
Adam公式.bmp
AlexNet.png
AlexNet.png
Batch-Norm.png
Batch-Norm.png
Fine-tuning.png
Fine-tuning.png
Gram的loss.png
Gram的loss.png
Kernel参数分辨范例.png
Kernel参数分辨范例.png
LeNet-5.png
LeNet-5.png
Loss!=Accuracy.png
Loss!=Accuracy.png
NMS.png
NMS.png
RMSProp公式.png
RMSProp公式.png
ResNet对比·.png
ResNet对比·.png
SELU.png
SELU.png
VGG.png
VGG.png
VGG1.png
VGG1.png
address data mismatch.png
address data mismatch.png
anchor box.png
anchor box.png
anchor box锚框.png
anchor box锚框.png
b8234ff9c23a69b1c6a79f1d11642fb.jpg
b8234ff9c23a69b1c6a79f1d11642fb.jpg
backwards.png
backwards.png
bottle layer.png
bottle layer.png
buas and variance.jpg
buas and variance.jpg
choice middle layer.png
choice middle layer.png
content cost function内容损失函数.png
content cost function内容损失函数.png
convolution implementation of sliding windows.png
convolution implementation of sliding windows.png
convolution implementation of sliding windows2.png
convolution implementation of sliding windows2.png
d sigmoid.png
d sigmoid.png
deep learning.md
deep learning.md
dropout.png
dropout.png
dropout1.png
dropout1.png
early stop.png
early stop.png
gram的cost.png
gram的cost.png
gram矩阵.png
gram矩阵.png
gram矩阵2.png
gram矩阵2.png
g函数和卷积核.png
g函数和卷积核.png
identity捷径.png
identity捷径.png
image-20211125193901774.png
image-20211125193901774.png
image-20211125200000731.png
image-20211125200000731.png
image0020619.gif
image0020619.gif
inception1.png
inception1.png
inception网络.png
inception网络.png
leaky relu.png
leaky relu.png
learning rate decay.png
learning rate decay.png
mini-batch梯度下降.png
mini-batch梯度下降.png
mini-batch梯度下降的趋势.png
mini-batch梯度下降的趋势.png
multitask learning.png
multitask learning.png
normalized and unnormalized.png
normalized and unnormalized.png
numpy.md
numpy.md
pic_0.png
pic_0.png
pic_1.png
pic_1.png
python补完.md
python补完.md
pytorch.md
pytorch.md
regularization.png
regularization.png
relu.png
relu.png
scheme1.png
scheme1.png
scheme2.png
scheme2.png
siamese network.png
siamese network.png
sigmoid.png
sigmoid.png
sigmoid改进方法.jpg
sigmoid改进方法.jpg
softmax.jpg
softmax.jpg
softmax.png
softmax.png
softplus.png
softplus.png
tanh.png
tanh.png
test and dropout.png
test and dropout.png
test.png
test.png
test_user.png
test_user.png
training-dev set.png
training-dev set.png
turning FC layer into convolutional layer.png
turning FC layer into convolutional layer.png
v2-5809743fd06c4ff804753d29e4b83935_720w.png
v2-5809743fd06c4ff804753d29e4b83935_720w.png
watermark,type_ZHJvaWRzYW5zZmFsbGJhY2s,shadow_50,text_Q1NETiBAQnViYmxpaWlpbmc=,size_20,color_FFFFFF,t_70,g_se,x_16.jpeg
watermark,type_ZHJvaWRzYW5zZmFsbGJhY2s,shadow_50,text_Q1NETiBAQnViYmxpaWlpbmc=,size_20,color_FFFFFF,t_70,g_se,x_16.jpeg
weight decay.png
weight decay.png
x型检测.png
x型检测.png
yolo.md
yolo.md
yolo边框.gif
yolo边框.gif
zero_pad效果图.png
zero_pad效果图.png
θ范数.png
θ范数.png
不同的边缘检测滤波器.png
不同的边缘检测滤波器.png
主流神经网络结构.png
主流神经网络结构.png
二维图像卷积示意图(3x3).png
二维图像卷积示意图(3x3).png
人脸2.png
人脸2.png
俩次3x3卷积和一次5x5卷积.png
俩次3x3卷积和一次5x5卷积.png
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