https://www.pyimagesearch.com/start-here/

Computer Vision Source

https://realpython.com/python-keras-text-classification/

Text and Sequences Source

https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947

Generative Source

Deep learning applications can be classified into three areas covered here: computer vision, text and sequence processing, and generative deep learning. Familiarity with neural networks and Keras is useful before studying implementations in these areas.

University of Minnesota - Twin Cities

Google

Python is widely used for deep learning  with various reasons.

1. Python offers concise and readable code.

2. To reduce development time, programmers turn to a number of Python frameworks and libraries like kearas, TensorfFlow, and NumPy.

3.  Python is supported by many platforms including Linux, Windows, and macOS.

4. Python is the language that people Google more than any other.


Deep learning with Python

Deep Learning is a specific subfield in machine learning. The approach to this is to put more emphasis on understanding successive layers of increasingly meaningful representations.

- The layers that is referred to is most often called as neural networks.

Deep learning is quite beneficial for its simplicity, scalability , versatility and reusability.

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