Link to Content:

DataCamp Deep Learning in Python

Created/Published/Taught by:

DataCamp

Dan Becker

Hugo Bowne-Anderson

Yashas Roy

Content Found Via:

DataCamp

Free? Partially: Some Free Content, Some Paid

Cost Range:

$0.00 - $29.00

Tags: deep learning / keras / neural networks / python

Difficulty Rating:

From DataCamp:

“Artificial neural networks (ANN) are a biologically-inspired set of models that facilitate computers learning from observed data. Deep learning is a set of algorithms that use especially powerful neural networks. It is one of the hottest fields in data science, and most state-of-the-art results in robotics, image recognition and artificial intelligence (including the famous AlphaGo) use deep learning. In this course, you’ll gain hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0, the latest version of a cutting edge library for deep learning in Python.”

The course consists of 4 chapters:

- Basics of deep learning and neural networks
- Optimizing a neural network with backward propagation
- Building deep learning with keras
- Fine-tuning keras models

Recommended Prerequisites: Requires knowledge of Python.

Go to Content: DataCamp – Deep Learning in Python

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