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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...