Basics of Deep Learning

Basics of Deep Learning, available at Free, has an average rating of 4.42, with 7 lectures, 6 quizzes, based on 569 reviews, and has 26013 subscribers.

You will learn about Basics of Deep Learning Evolution of deep neural network and their application. Concepts behind neural network Basic details on ANN, CNN and RNN This course is ideal for individuals who are All Developers, Business Managers, Functional leads, AI enthusiasts It is particularly useful for All Developers, Business Managers, Functional leads, AI enthusiasts.

Enroll now: Basics of Deep Learning

Summary

Title: Basics of Deep Learning

Price: Free

Average Rating: 4.42

Number of Lectures: 7

Number of Quizzes: 6

Number of Published Lectures: 7

Number of Published Quizzes: 6

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: Free

Quality Status: approved

Status: Live

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

Who Should Attend

All Developers, Business Managers, Functional leads, AI enthusiasts

Target Audiences

All Developers, Business Managers, Functional leads, AI enthusiasts

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Lecture 2 – Inspiration for Deep Learning

Lecture 1: Background

Chapter 3: Section 3 – Key Concepts of Deep Learning

Lecture 1: Key Concepts of Deep Learning

Chapter 4: Lecture 4 – Improving the model

Lecture 1: Improving the model

Chapter 5: Section 5 : Convolutional Network

Lecture 1: Lecture 5 – Convolutional network

Chapter 6: Lecture 6: Recurrent network

Lecture 1: Recurrent network

Chapter 7: Lecture 7 : Word representation

Lecture 1: Word representation

Instructors

Sunil Mishra
Instructor at Udemy

Rating Distribution

1 stars: 12 votes

2 stars: 19 votes

3 stars: 111 votes

4 stars: 210 votes

5 stars: 217 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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