import tensorflow as tf
cifar = tf.keras.datasets.cifar100
(x_train, y_train), (x_test, y_test) = cifar.load_data()
model = tf.keras.applications.ResNet50(
include_top=True,
weights=None,
input_shape=(32, 32, 3),
classes=100,)
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=5, batch_size=64)
Baixe a fonte da imagem Tsinghua Braço Anaconda
- Instale miniforge3: https://github.com/conda-forge/miniforge/#download
- Ligação de silicone da Apple
Dê uma olhada no plug-in Tensorflow oficial da Apple - Metal - Desenvolvedor da Apple
bash ~/miniconda.sh -b -p $HOME/miniconda source ~/miniconda/bin/activate conda install -c apple tensorflow-dep
python -m pip install tensorflow-metal
python -m pip install tensorflow-macos