- Type Validation
- Level Intermediate
- Time Days
- Cost Paid
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.
- Type Validation
- Level Intermediate
- Time Days
- Cost Paid
Earning Criteria
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Pass the Coursera course assessment criteria.