Introduction to Deep Learning in Python (DataCamp)

If you want to master the principles of neural networks as well as how to develop Deep Learning modules using Keras 2.0, this DataCamp course is for you. This course will provide you with an overview of Deep Learning, which is used to build the most intriguing capabilities in fields such as natural language processing, artificial intelligence, robotics, and image identification. This course is divided into four parts, the first of which, "Basics of Deep Learning and Neural Networks," is completely free to enroll in. Throughout the course, you will receive a hands-on, practical understanding of how to apply deep learning using Keras 2.0, the most recent version of a cutting-edge Python deep learning toolkit. This is one of the best online courses to learn Deep Learning Python.

You'll learn about the underlying principles and terminology used in deep learning, as well as why deep learning approaches are so effective today. You'll create rudimentary neural networks and use them to make predictions. Discover how to optimize the predictions made by your neural networks. Backward propagation, one of the most essential techniques in deep learning, will be used. Understanding how it operates will provide you with a solid basis for the second part of the course. You will develop deep learning models for regression and classification using the Keras package. You'll learn about the Specify-Compile-Fit methodology for making predictions, and by the conclusion of the chapter, you'll have everything you need to create deep neural networks. Learn how to improve your Keras deep learning models. Begin with understanding how to verify your models, then explore the idea of model capacity, and lastly experiment with larger and deeper networks.

Highlights:

• Understand the core principles and terminology used in deep learning, as well as why deep learning approaches are so effective.
• Discover how to improve neural network forecasts using the 'Backward Propagation' approach.
• Learn how to utilize the Keras library to create deep learning models for classification and regression.
• Understand the Specify-Compile-Fit methodology, which is used to produce precise predictions.
• Get ongoing assistance from a team of professionals to answer your Deep Learning and Python-related questions.
  

Duration: 4 hours
Digitaldefynd Rating: 4.5 out of 5

Link to enroll: https://www.datacamp.com/courses/deep-learning-in-python