Tensorflow

import tensorflow as tf

mnist = tf.keras.datasets.mnist

(xTrain, yTrain), (xTest, yTest) = mnist.load_data()

xTrain, xTest = xTrain / 255, xTest / 255

network = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(input_shape=(28, 28)),
  tf.keras.layers.Dense(128, activation='relu'),
  tf.keras.layers.Dense(10, activation="sigmoid")
])

predictions = network(xTrain[:1]).numpy()

loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)

loss(yTrain[:1], predictions).numpy()

network.compile("adam", loss, ["accuracy"])

network.fit(xTrain, yTrain, epochs=5)

network.evaluate(xTest, yTest, verbose=2)

Tensorflow

python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.12.0-py3-none-any.whl

Similar codes

0 vote199 views1 answer
Beyond compare mac using brew
Shell/Bash
2 votes203 views6 answers
Git command change to previous comit
Shell/Bash
0 vote211 views1 answer
Vscode tab not working ubuntu windows
Shell/Bash
0 vote218 views1 answer
Pipenv an error occurred while installing psycopg2==2.8.4
Shell/Bash
1 vote222 views1 answer
Install ruby on wsl
Shell/Bash
0 vote197 views1 answer
Install csfml on ubuntu
Shell/Bash
4 votes197 views2 answers
Ubuntu settings not opening 20.04
Shell/Bash
0 vote186 views1 answer
Linux shutdown no password
Shell/Bash
1 vote205 views1 answer
Mac of hide "upgrade now"
Shell/Bash
0 vote193 views1 answer
Error: error modifying EC2 Volume "vol-04e2b1a2d03860650": InvalidParameterValue: New size cannot be smaller than existing size
Shell/Bash