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

 

[100% Off] Deep Learning Fundamentals | Theory & Practice with Python Free Course Coupon

Created by Meta Brains
Duration: 2.0 hours
Expires: in a day

Complete Deep Learning Course to Master Data science, Tensorflow, Artificial Intelligence, and Neural Networks

What you’ll learn

  • Learn the fundamentals of the Deep Learning theory
  • Learn how to use Deep Learning in Python
  • Learn how to use different frameworks in Python to solve real-world problems using deep learning and artificial intelligence
  • Make predictions using linear regression, polynomial regression, and multivariate regression
  • Build artificial neural networks with Tensorflow and Keras

Description

Python is famed as one of the best programming languages for its flexibility. It works in almost all fields, from web development to developing financial applications. However, it’s no secret that Python’s best application is in deep learning and artificial intelligence tasks.

While Python makes deep learning easy, it will still be quite frustrating for someone with no knowledge of how machine learning works in the first place.

If you know the basics of Python and you have a drive for deep learning, this course is designed for you. This course will help you learn how to create programs that take data input and automate feature extraction, simplifying real-world tasks for humans.

There are hundreds of machine learning resources available on the internet. However, you’re at risk of learning unnecessary lessons if you don’t filter what you learn. While creating this course, we’ve helped with filtering to isolate the essential basics you’ll need in your deep learning journey.

It is a fundamentals course that’s great for both beginners and experts alike. If you’re on the lookout for a course that starts from the basics and works up to the advanced topics, this is the best course for you.

It only teaches what you need to get started in deep learning with no fluff. While this helps to keep the course pretty concise, it’s about everything you need to get started with the topic.

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