This Learning Path is the second of three Learning Paths in the Zero to Deep Learning Bootcamp Cloud Academy has developed in collaboration with Deep Learning expert Francesco Mosconi from Calalit. The Zero to Deep Learning Bootcamp has been developed to help you master Deep Learning in an interactive, self paced format.

Intended Audience
Anyone interested in getting started with practical applications of Data Science and Deep Learning. Whether you're just starting out with machine learning or a more experienced data scientist looking to throw deep learning into the mix, this Learning Path will provide the necessary skills to serve as a solid foundation for you to continue learning after the course has been completed.

Learning Objectives

Understand the core principles of deep learning
Recognize and explain the concept of Neural Networks
Recognize and explain how linear and non-linear problems can be solved using Neural Networks

Prerequisites
We recommend completing the Zero to Deep Learning Bootcamp One - Introduction to Data Science and Machine Learning Learning Path prior to starting this Learning Path.

Course Agenda
This Learning Path is made up of 12 expertly instructed lectures along with 4 exercises and their respective solutions.

Feedback
We welcome all feedback so please direct any comments or questions on this course to us at [email protected].

Miscellaneous
Provider: Cloud Academy
Title: Zero to Deep Learning Bootcamp Two - Getting Started With Deep Learning

Knowledge must be free. We are a 0day e-learning release group.
You can find us on Discord and pass some exams together. You will know when you found us.

Internal ID: CA330

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