TensorFlow Tutorial - Functional API + Multi-output Project

TensorFlow Tutorial - Functional API + Multi-output Project

In this TensorFlow 2 tutorial, you'll learn we can use the functional API and the advantages of this approach. The Keras functional API is a way to create models that are more flexible than the tf.keras.Sequential API. The functional API can handle models with non-linear topology, shared layers, and even multiple inputs or outputs. I will also walk you through a full example with 2 output predictions.

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework!

In this part we learn we can use the functional API and the advantages of this approach. The Keras functional API is a way to create models that are more flexible than the tf.keras.Sequential API. The functional API can handle models with non-linear topology, shared layers, and even multiple inputs or outputs. I will also walk you through a full example with 2 output predictions.

Course material is available on GitHub: https://github.com/python-engineer/tensorflow-course

Links: https://www.tensorflow.org https://www.tensorflow.org/guide/keras/functional

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