搬砖猛女的啃书历程

# %% from __future__ import absolute_import, division, print_function, unicode_literals import pathlib import os import matplotlib.pyplot as plt import pandas as pd import seaborn as sns import tensorflow as tf from tensorflow import keras from tensorfl

利用tf的框架搭建一个如图的神经网络 import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers,optimizers,losses,datasets,Sequential model=keras.Sequential([ layers.Dense(256,activation='relu'), layers.Dense(256,activation='relu'),

step1 先导入一些必要的库 import numpy as np import matplotlib.pyplot as plt import tensorflow.python.keras as keras from tensorflow.python.keras import layers from tensorflow.keras.datasets import mnist step2 加载数据 处理数据 (x_train, y_train), (x_test, y_test) = mnist.