基于NumPy搭建MLP完成手写数字分类

|-MLP-By-NumPy
  |-data            存放MNIST数据
  |-convert.py      将MNIST原始数据集转换为CSV格式
  |-mlp.py          全连接神经网络实现
  |-main.py         主函数

class LinearLayer:
    def __init__(self, n_in, n_out, batch_size, activation=None, lr=0.001):
    def forward(self, x):
    def backward(self, dout):
class SoftMax:
    def __init__(self):
    def forward(self, x):
    def backward(self, y):
class MLP:
    def __init__(self, input_size, batch_size, num_classes, lr=0.01, hidden_layer_sizes=(256,), activation='relu'):
    def forward(self, x):
    def backward(self, y):
    def parameter(self):