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UdemyDeep LearningPaid courseBeginner level

Basics of Deep Learning (Udemy.com)

Fundamentals of Neural Network

Created by: Sunil Mishra

Last updated February 2020

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What you will learn

  • Basics of Deep Learning
  • Evolution of deep neural network and their application.
  • Concepts behind neural network
  • Basic details on ANN, CNN and RNN

How it compares

Against the other 126 rated Udemy courses in Deep Learning on CourseDuck:

  • Rating4.4 out of 5higher than 32% of them
  • Reviews671#59 of 127 by number of reviews
  • Length1.8 hoursshorter than 98% of them
  • Last updatedFebruary 2020earlier than 92% of them

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Course Description

Have you ever wondered what is Deep Learning and how it is helping today in powering Artificial Intelligence?

This basic course in Deep Learning may unravel some of them. You dont need any technical or coding background to know the basic fundamentals of Neural Network. This course is designed for functional consultants, product managers as well as developers and architects.

Contents of the course:

1. Inspiration for Deep Learning

2. Key Concepts of Deep Learning

3. Improving the model

4. Convolutional network

5. Recurrent network

6. Word representation

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Instructor Details

Sunil Mishra

Sunil has over two decades of experience in banking software with leading consulting & technology companies that include McKinsey & Co. , Accenture, Infosys & Oracle. He has keen interest in deep learning and has created multiple learning resources on the topic. He also actively works with the startups as mentors in the area of data and analytics.


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Reviews

4.4

671 ratings on Udemy

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By Alexander Sjögren on 7/23/2025

Really good basics to understand what deep learning is and how it has evolved! Would recommend to anyone since its free. Good Job!

By Karthik Kodali on 5/13/2024

Good intro but a bit technical. Explains a lot of key concepts of deep learning and can be related to llm's

By Sofia Mazon on 2/22/2024

loved the visuals to help better understand the concept of a biological neural network and an artificial neural network.

By Oyewale Daniel Oyewola on 9/7/2022

The course is quite explanatory. It reveals the under operations of your codes while working on a deep learning project.

By Loganayaki.G on 8/26/2021

Contains only the basics. Mathematical representations do not have the expected explanations. This only applies to academic exams.

By António Corte Real on 3/5/2021

The content is spot-on, really informative, simple and fast. The course in itself is completely unprofessional, phones ringing in the background, constantly interrupting, saying way too many times "ok" and "right" and written mistakes. Great content, terrible effort making it appealing and inviting.

By Kumar Rishav on 9/30/2020

yes its good, i wanted to revise some key concepts for my interview and its really helpful till now

By Ankita Gupta on 8/10/2020

This is more of a theoretical detailing. One can only understand the very basic idea of Deep Learning but unable to do it practically.

By Rodolfo_Rivas on 5/9/2020

It is a good brief introduction to the topic without dwelling in the math behind it. Almost conversational. Recommended if you want to get the idea.

By Sudhi Ranjan Gupta on 4/21/2020

basically no one explain a lot of things in only in introduction but you sir just touch whole syllabus in 20 mins with a wonderful voice . Good Job sir ..

Showing all 10 reviews on CourseDuck

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Overall Score : 88 / 100