Deep Learning :The Complete Guide with CNN and ANN

Deep Learning :The Complete Guide with CNN and ANN, available at $39.99, has an average rating of 4.5, with 31 lectures, based on 7 reviews, and has 124 subscribers.

You will learn about Learn the core concepts of Deep Learning Learn to use tools to build CNN models Learn practical ANN and its application on real world use cases This course is ideal for individuals who are Anyone who wants to learn Deep learning and CNN will find this course very useful It is particularly useful for Anyone who wants to learn Deep learning and CNN will find this course very useful.

Enroll now: Deep Learning :The Complete Guide with CNN and ANN

Summary

Title: Deep Learning :The Complete Guide with CNN and ANN

Price: $39.99

Average Rating: 4.5

Number of Lectures: 31

Number of Published Lectures: 31

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 31

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Learn the core concepts of Deep Learning
Learn to use tools to build CNN models
Learn practical ANN and its application on real world use cases

Who Should Attend

Anyone who wants to learn Deep learning and CNN will find this course very useful

Target Audiences

Anyone who wants to learn Deep learning and CNN will find this course very useful

Within the AI ecosystem, Deep Neural Network or CNN are the most popular sub-fields that promise to change multiple businesses globally. Moreover, a tremendous interest in CNN has emerged in recent years. It is mostly because of its property of ‘spatial in variance’ that is useful for computer vision and other similar tasks. Probably this is why CNN has managed to become one of the hottest topics of artificial intelligence.

To give you a complete understanding of this concept, we have curated this exclusive online tutorial that will help you learn all the aspects of Deep Neural Network or CNN and Artificial neural nets (ANN)

What You’ll Learn?

This course unfolds with the basic intro of Deep Learning and then directly jumps into CoLab & other essential tools of Neural Networks & Artificial Neural Network. As it progresses, it will give you detailed insights into architectures of CNN, convolutional layers, fully connected layers, and training a deep neural network. In the end, it is also supported by a project that entirely revolves around Deep Neural Network & CNN.

This Course Includes:

l Intro- Deep Learning, CoLab,

l Neural Networks- Working, APIs, Architecture, Training & Testing

l Artificial Neural Networks- Working, Learning, Gradient Descent, Backpropagation, SGD, Optimization

l CNN- Architectures, Convolutional Layers, Pooling, Fully Connected Layers, Activation Functions, Training Deep Neural Networks

l Project on Deep Neural Network & CNN

Begin with this course to learn CNN & harness the true power of Deep Learning!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is Deep Learning

Lecture 3: CoLab

Lecture 4: Fashion-MNIST

Lecture 5: How to use CoLab to create your first model – Part 1

Lecture 6: How to use CoLab to create your first model – Part 2

Chapter 2: Neural Networks

Lecture 1: How does a Neural Network work – APIs

Lecture 2: How does a Neural Network work – Architectures

Lecture 3: How to Train, Test and Validate

Lecture 4: Performance Evaluation – 1

Lecture 5: Performance Evaluation – 2

Lecture 6: Performance Evaluation – 3

Chapter 3: Artificial Neural Networks

Lecture 1: How does a Deep Neural Network work

Lecture 2: How does an ANN learn – Session 1

Lecture 3: How does an ANN learn – Session 2

Lecture 4: How does an ANN learn – Session 3

Lecture 5: How does an ANN learn – Session 4

Lecture 6: How does an ANN learn – Session 5

Lecture 7: How does an ANN learn – Session 6

Lecture 8: How does an ANN learn – Part 1

Lecture 9: How does an ANN learn – Part 2

Lecture 10: How does an ANN learn – Gradient Descent

Lecture 11: How does an ANN learn – Backpropagation

Lecture 12: How does an ANN learn – SGD

Lecture 13: How does an ANN Learn – Learning Rate

Lecture 14: How does an ANN Learn – Optimization

Chapter 4: Convolutional Neural Networks

Lecture 1: CNN – Architectures

Lecture 2: CNN – Convolutional Layer

Lecture 3: Pooling and Fully Connected layers

Lecture 4: Activation Functions

Lecture 5: Training Deep neural nets

Instructors

Eduonix Learning Solutions
1+ Million Students Worldwide | 200+ Courses

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