Explore this branch of machine learning that's trained on large amounts of data and deals with computational units working in tandem to perform predictions
This learning path is designed for anyone interested in getting familiar with and exploring deep learning topics. Currently, the learning path covers the fundamentals of deep learning, but will be enhanced in the future to cover supervised and unsupervised deep learning concepts.
Deep learning fundamentals
Discover how deep learning is related to machine learning, explore its fundamentals, and look at the advantages of using deep learning algorithms in certain applications.
Skill level
Beginner
Estimated time to complete
Approximately 2 hours.
Learning objectives
With this learning path, you get:
An understanding of deep learning concepts
An understanding of deep learning architectures
A comparison of deep learning frameworks
How to enable Eager Execution in TensorFlow
How to create a Jupyter Notebook that contains Python code for defining logistic regression, then use TensorFlow to implement it
An understanding of how to build neural networks without the help of the frameworks
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