Advanced Deep Learning with Keras

DataCamp
via DataCamp
Build multiple-input and multiple-output deep learning models using Keras.
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This course shows you how to solve a variety of problems using the versatile Keras functional API. You will start with simple, multi-layer dense networks (also known as multi-layer perceptrons), and continue on to more complicated architectures. The course will cover how to build models with multiple inputs and a single output, as well as how to share weights between layers in a model. We will also cover advanced topics such as category embeddings and multiple-output networks. If you’ve ever wanted to train a network that does both classification and regression, then this course is for you!

Instructor(s)

Zachary Deane-Mayer
DataCamp
via DataCamp
Free Trial Available
English
4 Hours
Self paced