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 vote93 views1 answer
Linux idle process
Shell/Bash
11 votes106 views1 answer
How to make git remember username and password
Shell/Bash
0 vote95 views1 answer
Gp policy force update
Shell/Bash
63 votes95 views3 answers
How to remove a remote origin in git and add new
Shell/Bash
1 vote84 views3 answers
Install kubectl on ubuntu 20
Shell/Bash
0 vote116 views1 answer
Reload shell command
Shell/Bash
0 vote111 views1 answer
How to clear shell traps
Shell/Bash
16 votes109 views6 answers
How to install pandas
Shell/Bash
2 votes95 views2 answers
Bash float
Shell/Bash
0 vote109 views1 answer
Bash debugging
Shell/Bash