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[Udemy] Python for Deep Learning: Build Neural Networks in Python

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100% OFF Get Course

What you’ll learn

  • Be taught the basics of the Deep Studying idea
  • Discover ways to use Deep Studying in Python
  • Discover ways to use totally different frameworks in Python to resolve real-world issues utilizing deep studying and synthetic intelligence
  • Make predictions utilizing linear regression, polynomial regression, and multivariate regression
  • Construct synthetic neural networks with Tensorflow and Keras


  • Expertise with the fundamentals of coding in Python
  • Primary mathematical abilities
  • Readiness, flexibility, and fervour for studying


Python is famed as among the best programming languages for its flexibility. It really works in virtually all fields, from net improvement to creating monetary functions. Nonetheless, it is no secret that Python’s greatest utility is in deep studying and synthetic intelligence duties.

Whereas Python makes deep studying straightforward, it is going to nonetheless be fairly irritating for somebody with no data of how machine studying works within the first place.

If you already know the fundamentals of Python and you’ve got a drive for deep studying, this course is designed for you. This course will aid you learn to create packages that take knowledge enter and automate characteristic extraction, simplifying real-world duties for people.

There are a whole lot of machine studying assets out there on the web. Nonetheless, you are prone to studying pointless classes in the event you do not filter what you study. Whereas creating this course, we have helped with filtering to isolate the important fundamentals you may want in your deep studying journey.

It’s a fundamentals course that’s nice for each inexperienced persons and consultants alike. In the event you’re looking out for a course that begins from the fundamentals and works as much as the superior subjects, that is the perfect course for you.

Who this course is for:

  • Programmers who wish to add deep studying to their skillset
  • Skilled mathematicians prepared to learn to analyze knowledge programmatically
  • Any Python programming fanatic prepared so as to add deep studying proficiency to their portfolio

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