From Zero to Hero: Mastering Neural Networks with Keras

From Zero to Hero: Mastering Neural Networks with Keras, available at Free, has an average rating of 4.4, with 5 lectures, based on 13 reviews, and has 2325 subscribers.

You will learn about Introduced to Colab by Google How to Implement Deep Neural Network How to Implement Convolutional Neural Network How to Implement Recurrent Neural Network How to Implement Complex Neural Network which has both CNN and RNN layers This course is ideal for individuals who are Beginners course for people interested in learning the implementation of Neural Networks and doing real world projects It is particularly useful for Beginners course for people interested in learning the implementation of Neural Networks and doing real world projects.

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Summary

Title: From Zero to Hero: Mastering Neural Networks with Keras

Price: Free

Average Rating: 4.4

Number of Lectures: 5

Number of Published Lectures: 5

Number of Curriculum Items: 5

Number of Published Curriculum Objects: 5

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Introduced to Colab by Google
How to Implement Deep Neural Network
How to Implement Convolutional Neural Network
How to Implement Recurrent Neural Network
How to Implement Complex Neural Network which has both CNN and RNN layers

Who Should Attend

Beginners course for people interested in learning the implementation of Neural Networks and doing real world projects

Target Audiences

Beginners course for people interested in learning the implementation of Neural Networks and doing real world projects

In this comprehensive course, you will learn how to implement various types of neural networks using Keras, with step-by-step guidance and hands-on projects. You don’t need to set up anything on your system as everything will be done online. You will be provided with example code and practice problems to reinforce your understanding of the concepts.

Throughout the course, you will work on four exciting projects that cover different neural network architectures and datasets. You will start by implementing and training a fully connected neural network for character classification using the popular MNIST dataset. You will then move on to creating and training a convolutional neural network (CNN) for the same dataset.

Next, you will learn how to implement and train a multi-layer LSTM neural network for Human Activity Recognition using the WISDM dataset. Finally, you will explore how to build and train a multi-layer CNN-RNN neural network for the same dataset.

For each project, you will be provided with code and Colab notebooks to experiment with, allowing you to practice and apply what you have learned in a real-world setting. This course is designed to take you from the basics to advanced models, so you can develop your skills and confidently implement complex neural networks.

While a theoretical background in deep learning is expected, a basic understanding is sufficient to get started with this course. Join us now and learn how to build and train neural networks using Keras!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Colab

Chapter 2: Deep Neural Network

Lecture 1: Beginners guide to making Deep Neural Network with Keras in Colab

Chapter 3: Convolutional Neural Network

Lecture 1: Deep Neural Network with Keras

Chapter 4: Recurrent Neural network

Lecture 1: RNN with Keras

Chapter 5: Complex models Implementation

Lecture 1: Complex models with Keras

Instructors

Engr. Hamza Ali Imran
Design Engineer at Emumba Private Limited, Islamabad

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 1 votes
4 stars: 3 votes
5 stars: 8 votes

Frequently Asked Questions

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