!pip install keras==2.4.3
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WARNING: You are using pip version 20.2.3; however, version 20.2.4 is available.
You should consider upgrading via the '/opt/venv/bin/python -m pip install --upgrade pip' command.
# MNIST
import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import SGD
from matplotlib import pyplot as plt
from tensorflow.keras.layers.experimental.preprocessing import RandomRotation
import numpy as np
import pandas as pd
pip install tensorflow
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WARNING: You are using pip version 20.2.3; however, version 20.2.4 is available.
You should consider upgrading via the '/opt/venv/bin/python -m pip install --upgrade pip' command.
Note: you may need to restart the kernel to use updated packages.
(X_train, y_train), (X_valid, y_valid) = mnist.load_data()
array([5,0,4,1,9,2,1,3,1,4,3,5], dtype=uint8)
NameError: name 'array' is not defined
plt.figure (figsize=(5,5))
for k in range (12):
plt.subplot(3,4, k+1)
plt.imshow(X_train[k], cmap='Greys')
plt.axis('off')
plt.tight_layout()
plt.show()
X_train = X_train.reshape(60000, 784).astype('float32')
X_valid = X_valid.reshape(10000, 784).astype('float32')
X_train /=255
X_valid /=255
n_classes =10
y_train = keras.utils.to_categorical(y_train, n_classes)
y_valid = keras.utils.to_categorical(y_valid, n_classes)
array([0.,0.,0.,0.,0.,0.,0.,1.,0.,0.], dtype=float32)
model =Sequential()
model.add(Dense(64, activation ='sigmoid', input_shape = (784,)))
model.add(Dense(10, activation='softmax'))