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

3 votes227 views2 answers
Install docker kali linux
Shell/Bash
0 vote222 views1 answer
Pg_dump export single table
Shell/Bash
0 vote203 views1 answer
Tools for debuging a server
Shell/Bash
0 vote214 views1 answer
How to remove commit in git extension
Shell/Bash
0 vote219 views1 answer
How to check if port is open mac
Shell/Bash
1 vote229 views3 answers
Command prompt post request
Shell/Bash
9 votes208 views5 answers
Discard unstaged changes git
Shell/Bash
0 vote208 views1 answer
Git sync branches
Shell/Bash
2 votes213 views1 answer
Ubuntu darling
Shell/Bash
12 votes265 views1 answer
How to install microsoft teams app in ubuntu 16.04
Shell/Bash