Deep Learning Essentials with Keras

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This badge earner is able to describe what a neural network is, what a deep learning model is, and the difference between them. They demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. The earner has an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. In addition, the individual knows how to build deep learning models and networks using the Keras library.

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Deep Learning Essentials with Keras

What is needed to earn this credential or badge

Course

Complete the Coursera course "Introduction to Deep Learning & Neural Networks with Keras" including all assignments.

Assessment

Pass the Coursera course assessment criteria.

Deep Learning Essentials with Keras

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Deep Learning Essentials with Keras

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