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[Coursera] Neural Networks and Deep Learning

About this course: If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new “superpower” that will let you build AI systems that just weren’t possible a

About this course: If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new “superpower” that will let you build AI systems that just weren’t possible a few years ago. In this course, you will learn the foundations of deep learning. When you finish this class, you will: – Understand the major technology trends driving Deep Learning – Be able to build, train and apply fully connected deep neural networks – Know how to implement efficient (vectorized) neural networks – Understand the key parameters in a neural network’s architecture This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. This is the first course of the Deep Learning Specialization.

Who is this class for: Prerequisites: Expected: – Programming: Basic Python programming skills, with the capability to work effectively with data structures. Recommended: – Mathematics: Matrix vector operations and notation. – Machine Learning: Understanding how to frame a machine learning problem, including how data is represented will be beneficial. If you have taken my Machine Learning Course here, you have much more than the needed level of knowledge.

Created by:  deeplearning.ai
deeplearning.ai
  • Taught by:  Andrew Ng, Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain

  • Taught by:  Head Teaching Assistant – Kian Katanforoosh, Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec

  • Taught by:  Teaching Assistant – Younes Bensouda Mourri, Mathematical & Computational Sciences, Stanford University, deeplearning.ai

Basic Info
Course 1 of 5 in the Deep Learning Specialization
Level Intermediate
Commitment 4 weeks of study, 3-6 hours a week
Language
English, Subtitles: Chinese (Traditional), Chinese (Simplified), Portuguese (Brazilian), Korean, Turkish, Japanese
How To Pass Pass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said

Size: 878.11M

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