nehal96/Deep-Learning-ND-Exercises
Notes and coding exercises from the various lessons in Udacity's Deep Learning Nanodegree Foundation
This resource provides comprehensive notes, coding exercises, and five practical projects from Udacity's Deep Learning Nanodegree Foundation. It takes users from foundational neural network concepts to advanced topics like recurrent neural networks and generative adversarial networks. Machine learning engineers and data scientists looking to solidify their understanding and build practical deep learning models would find this valuable.
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Use this if you are a machine learning practitioner or student who wants to learn deep learning concepts and apply them to real-world problems like image classification, sentiment analysis, and text generation.
Not ideal if you are looking for a plug-and-play solution or a high-level API to immediately deploy deep learning models without understanding the underlying mechanics.
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May 22, 2017
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