Deep Learning with Tensorflow

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This badge earner can explain foundational TensorFlow concepts such as the main functions, operations and the execution pipelines, and how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. The earner understands different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders and how to apply TensorFlow for back propagation to tune the weights and biases while the Neural Networks are being trained.

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Deep Learning with Tensorflow

What is needed to earn this credential or badge


Complete the Coursera course "Building Deep Learning Models with TensorFlow" including all assignments.


Pass the Coursera course assessment criteria.

Deep Learning with Tensorflow

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Deep Learning with Tensorflow

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