📕 subnode [[@KGBicheno/layers_api_(tf layers)]]
in 📚 node [[layers_api_(tf-layers)]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Layers_Api_(Tf.Layers).md by @KGBicheno
Layers API (tf.layers)
Go back to the [[AI Glossary]]
A TensorFlow API for constructing a deep neural network as a composition of layers. The Layers API enables you to build different types of layers, such as:
tf.layers.Dense for a fully-connected layer.
tf.layers.Conv2D for a convolutional layer.
When writing a custom Estimator, you compose Layers objects to define the characteristics of all the hidden layers.
The Layers API follows the Keras layers API conventions. That is, aside from a different prefix, all functions in the Layers API have the same names and signatures as their counterparts in the Keras layers API.
📖 stoas
- public document at doc.anagora.org/layers_api_(tf-layers)
- video call at meet.jit.si/layers_api_(tf-layers)