• Professional Development
  • Medicine & Nursing
  • Arts & Crafts
  • Health & Wellbeing
  • Personal Development

Course Images

Deep Learning & Neural Networks Python - Keras: For Dummies

Deep Learning & Neural Networks Python - Keras: For Dummies

  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • On-Demand course

  • 11 hours 11 minutes

  • Intermediate level

Description

Overview

This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course.

Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry.

In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will:
  • Learn strategies to boost your workplace efficiency.

  • Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career.

  • Acquire a comprehensive understanding of various Deep Learning & Neural Networks Python - Keras: For Dummies topics and tips from industry experts.

  • Learn in-demand Deep Learning & Neural Networks Python - Keras: For Dummies skills that are in high demand among UK employers, which will help you to kickstart your career.

This Deep Learning & Neural Networks Python - Keras: For Dummies course covers everything you must know to stand against the tough competition in the Deep Learning & Neural Networks Python - Keras: For Dummies field. 

The future is truly yours to seize with this Deep Learning & Neural Networks Python - Keras: For Dummies. Enrol today and complete the course to achieve a Deep Learning & Neural Networks Python - Keras: For Dummies certificate that can change your professional career forever.

Additional Perks of Buying a Course From Institute of Mental Health
  • Study online - whenever and wherever you want.

  • One-to-one support from a dedicated tutor throughout your course.

  • Certificate immediately upon course completion

  • 100% Money back guarantee

  • Exclusive discounts on your next course purchase from Institute of Mental Health

Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now.

Process of Evaluation

After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate. 

Certificate of Achievement

Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99.

Who Is This Course for?

This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand. 

And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. 

Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects. 

This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education.

Requirements

This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite. 

You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies course.

Do note: you must be at least 16 years old to enrol.

Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Deep Learning & Neural Networks Python - Keras: For Dummies course.

Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills.

Course Curriculum

Course Introduction and Table of Contents

Course Introduction and Table of Contents

00:11:00

Deep Learning Overview

Deep Learning Overview - Theory Session - Part 1

00:06:00

Deep Learning Overview - Theory Session - Part 2

00:07:00

Choosing Between ML or DL for the next AI project - Quick Theory Session

Choosing Between ML or DL for the next AI project - Quick Theory Session

00:09:00

Preparing Your Computer

Preparing Your Computer - Part 1

00:07:00

Preparing Your Computer - Part 2

00:06:00

Python Basics

Python Basics - Assignment

00:09:00

Python Basics - Flow Control

00:09:00

Python Basics - Functions

00:04:00

Python Basics - Data Structures

00:12:00

Theano Library Installation and Sample Program to Test

Theano Library Installation and Sample Program to Test

00:11:00

TensorFlow library Installation and Sample Program to Test

TensorFlow library Installation and Sample Program to Test

00:09:00

Keras Installation and Switching Theano and TensorFlow Backends

Keras Installation and Switching Theano and TensorFlow Backends

00:10:00

Explaining Multi-Layer Perceptron Concepts

Explaining Multi-Layer Perceptron Concepts

00:03:00

Explaining Neural Networks Steps and Terminology

Explaining Neural Networks Steps and Terminology

00:10:00

First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset

First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset

00:07:00

Explaining Training and Evaluation Concepts

Explaining Training and Evaluation Concepts

00:11:00

Pima Indian Model - Steps Explained

Pima Indian Model - Steps Explained - Part 1

00:09:00

Pima Indian Model - Steps Explained - Part 2

00:07:00

Coding the Pima Indian Model

Coding the Pima Indian Model - Part 1

00:11:00

Coding the Pima Indian Model - Part 2

00:09:00

Pima Indian Model - Performance Evaluation

Pima Indian Model - Performance Evaluation - Automatic Verification

00:06:00

Pima Indian Model - Performance Evaluation - Manual Verification

00:08:00

Pima Indian Model - Performance Evaluation - k-fold Validation - Keras

Pima Indian Model - Performance Evaluation - k-fold Validation - Keras

00:10:00

Pima Indian Model - Performance Evaluation - Hyper Parameters

Pima Indian Model - Performance Evaluation - Hyper Parameters

00:12:00

Understanding Iris Flower Multi-Class Dataset

Understanding Iris Flower Multi-Class Dataset

00:08:00

Developing the Iris Flower Multi-Class Model

Developing the Iris Flower Multi-Class Model - Part 1

00:09:00

Developing the Iris Flower Multi-Class Model - Part 2

00:06:00

Developing the Iris Flower Multi-Class Model - Part 3

00:09:00

Understanding the Sonar Returns Dataset

Understanding the Sonar Returns Dataset

00:07:00

Developing the Sonar Returns Model

Developing the Sonar Returns Model

00:10:00

Sonar Performance Improvement - Data Preparation - Standardization

Sonar Performance Improvement - Data Preparation - Standardization

00:15:00

Sonar Performance Improvement - Layer Tuning for Smaller Network

Sonar Performance Improvement - Layer Tuning for Smaller Network

00:07:00

Sonar Performance Improvement - Layer Tuning for Larger Network

Sonar Performance Improvement - Layer Tuning for Larger Network

00:06:00

Understanding the Boston Housing Regression Dataset

Understanding the Boston Housing Regression Dataset

00:07:00

Developing the Boston Housing Baseline Model

Developing the Boston Housing Baseline Model

00:08:00

Boston Performance Improvement by Standardization

Boston Performance Improvement by Standardization

00:07:00

Boston Performance Improvement by Deeper Network Tuning

Boston Performance Improvement by Deeper Network Tuning

00:05:00

Boston Performance Improvement by Wider Network Tuning

Boston Performance Improvement by Wider Network Tuning

00:04:00

Save & Load the Trained Model as JSON File (Pima Indian Dataset)

Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1

00:09:00

Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2

00:08:00

Save and Load Model as YAML File - Pima Indian Dataset

Save and Load Model as YAML File - Pima Indian Dataset

00:05:00

Load and Predict using the Pima Indian Diabetes Model

Load and Predict using the Pima Indian Diabetes Model

00:09:00

Load and Predict using the Iris Flower Multi-Class Model

Load and Predict using the Iris Flower Multi-Class Model

00:08:00

Load and Predict using the Sonar Returns Model

Load and Predict using the Sonar Returns Model

00:10:00

Load and Predict using the Boston Housing Regression Model

Load and Predict using the Boston Housing Regression Model

00:08:00

An Introduction to Checkpointing

An Introduction to Checkpointing

00:06:00

Checkpoint Neural Network Model Improvements

Checkpoint Neural Network Model Improvements

00:10:00

Checkpoint Neural Network Best Model

Checkpoint Neural Network Best Model

00:04:00

Loading the Saved Checkpoint

Loading the Saved Checkpoint

00:05:00

Plotting Model Behavior History

Plotting Model Behavior History - Introduction

00:06:00

Plotting Model Behavior History - Coding

00:08:00

Dropout Regularization - Visible Layer

Dropout Regularization - Visible Layer - Part 1

00:11:00

Dropout Regularization - Visible Layer - Part 2

00:06:00

Dropout Regularization - Hidden Layer

Dropout Regularization - Hidden Layer

00:06:00

Learning Rate Schedule using Ionosphere Dataset - Intro

Learning Rate Schedule using Ionosphere Dataset

00:06:00

Time Based Learning Rate Schedule

Time Based Learning Rate Schedule - Part 1

00:07:00

Time Based Learning Rate Schedule - Part 2

00:12:00

Drop Based Learning Rate Schedule

Drop Based Learning Rate Schedule - Part 1

00:07:00

Drop Based Learning Rate Schedule - Part 2

00:08:00

Convolutional Neural Networks - Introduction

Convolutional Neural Networks - Part 1

00:11:00

Convolutional Neural Networks - Part 2

00:06:00

MNIST Handwritten Digit Recognition Dataset

Introduction to MNIST Handwritten Digit Recognition Dataset

00:06:00

Downloading and Testing MNIST Handwritten Digit Recognition Dataset

00:10:00

MNIST Multi-Layer Perceptron Model Development

MNIST Multi-Layer Perceptron Model Development - Part 1

00:11:00

MNIST Multi-Layer Perceptron Model Development - Part 2

00:06:00

Convolutional Neural Network Model using MNIST

Convolutional Neural Network Model using MNIST - Part 1

00:13:00

Convolutional Neural Network Model using MNIST - Part 2

00:12:00

Large CNN using MNIST

Large CNN using MNIST

00:09:00

Load and Predict using the MNIST CNN Model

Load and Predict using the MNIST CNN Model

00:14:00

Introduction to Image Augmentation using Keras

Introduction to Image Augmentation using Keras

00:11:00

Augmentation using Sample Wise Standardization

Augmentation using Sample Wise Standardization

00:10:00

Augmentation using Feature Wise Standardization & ZCA Whitening

Augmentation using Feature Wise Standardization & ZCA Whitening

00:04:00

Augmentation using Rotation and Flipping

Augmentation using Rotation and Flipping

00:04:00

Saving Augmentation

Saving Augmentation

00:05:00

CIFAR-10 Object Recognition Dataset - Understanding and Loading

CIFAR-10 Object Recognition Dataset - Understanding and Loading

00:12:00

Simple CNN using CIFAR-10 Dataset

Simple CNN using CIFAR-10 Dataset - Part 1

00:09:00

Simple CNN using CIFAR-10 Dataset - Part 2

00:06:00

Simple CNN using CIFAR-10 Dataset - Part 3

00:08:00

Train and Save CIFAR-10 Model

Train and Save CIFAR-10 Model

00:08:00

Load and Predict using CIFAR-10 CNN Model

Load and Predict using CIFAR-10 CNN Model

00:16:00

RECOMENDED READINGS

Recomended Readings

00:00:00

About The Provider

Tags

Reviews