Update m1_tf_test.py

This commit is contained in:
Smiril
2022-07-10 14:42:53 +02:00
committed by GitHub
parent 7faa3d4e91
commit 843638028f
+6 -3
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@@ -5,7 +5,6 @@
# Created Date: Saturday July 9th 2022
# Author: Smiril
# Email: sonar@gmx.com
# Original: https://towardsdatascience.com/installing-pytorch-on-apple-m1-chip-with-gpu-acceleration-3351dc44d67c
#############################################################
import tensorflow as tf
tf.__version__
@@ -17,10 +16,14 @@ model = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10)
tf.keras.layers.Dense(10),
tf.keras.layers.Dense(2,activation=tf.nn.softmax)
])
loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
model.compile(optimizer='adam',
loss=loss_fn,
metrics=['accuracy'])
model.fit(x_train, y_train, epochs=10)
model.fit(x_train, y_train, epochs=100)
model.build()
model.summary()