A simple CNN Framework implemented by Numpy

本代码主要使用numpy构建一个简单的可训练、预测的CNN框架。实现了CNN的基础组件（Conv,Pool,Activator,FC,BN,Loss），并使用Pytorch对各个组件执行的正确性进行验证。

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
layers		layers
.gitignore		.gitignore
Activators.py		Activators.py
BN.py		BN.py
Conv.py		Conv.py
DCGAN_numpy.py		DCGAN_numpy.py
DCGAN_numpy_cifar.py		DCGAN_numpy_cifar.py
Data_loader.py		Data_loader.py
Deconv.py		Deconv.py
FC.py		FC.py
Lenet_numpy.py		Lenet_numpy.py
Lenet_pytorch.py		Lenet_pytorch.py
Logsoftmax.py		Logsoftmax.py
Loss.py		Loss.py
MNIST.py		MNIST.py
Module.py		Module.py
Optimizer.py		Optimizer.py
Optimizer_func.py		Optimizer_func.py
Parameter.py		Parameter.py
Pool.py		Pool.py
README.md		README.md
component_verify.py		component_verify.py
cryptoNet_five_layer.py		cryptoNet_five_layer.py
minionn_5relu_layer.py		minionn_5relu_layer.py
secureml_fc_layer.py		secureml_fc_layer.py

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