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Popular pages
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EfficientNetV2 B0 to B3 and S, M, L
Keras documentation
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MobileNet, MobileNetV2, and MobileNetV3
MobileNet, MobileNetV2, and MobileNetV3 MobileNet function tf.keras.applications.MobileNet( input_shape=None, alpha=1.0, depth_multiplier=1, dropout=0.001, include_top=True, we...
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TransformerEncoder layer
TransformerEncoder layer TransformerEncoder class keras_nlp.layers.TransformerEncoder( intermediate_dim, num_heads, dropout=0, activation="relu", layer_norm_epsilon=1e-05, kern...
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The Sequential model
The Sequential model Last modified: 2020/04/12 Description: Complete guide to the Sequential model. When to use a Sequential model A a plain stack of layers where each layer has exactly one input te...
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Keras: Deep Learning for humans
Maciej Kula Staff Software Engineer - Google "Keras has tremendously simplified the development workflow of Waymo's ML practitioners, with the benefits of a significantly simplified API, ...
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ResNet and ResNetV2
ResNet and ResNetV2 tf.keras.applications.ResNet50( include_top=True, weights="imagenet", input_tensor=None, input_shape=None, pooling=None, classes=1000, **kwargs ) Insta...