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

22 votes286 views8 answers
Math
Python
-1 vote300 views1 answer
Pynput keyboard backspace
Python
0 vote274 views1 answer
Rename rows pandas based on condiions
Python
33 votes335 views3 answers
How to convert a byte array to string in python
Python
1 vote270 views1 answer
Python hasattribute
Python
0 vote284 views1 answer
Matplotlib get and chan values of tick labels
Python
0 vote296 views1 answer
Turtule code for digital clock
Python
0 vote286 views1 answer
The following packages have unmet dependencies: libnode72 : Conflicts: nodejs-legacy E: Broken packages
Python
5 votes259 views1 answer
Fetch row where column is equal to a value pandas
Python
25 votes297 views6 answers
Import python module from another directory
Python