
Deep Learning & Neural Networks Python - Keras For Dummies
Deep Learning & Neural Networks Python - Keras For Dummies
Intermediate
5( 128 Reviews )
11 hrs 5 mins
Artificial Intelligence
Deep Learning and Data Science using Python and Keras Library - Beginner to Professional - The Complete Guide
Deep Learning and Data Science using Python and Keras Library - Beginner to Professional - The Complete Guide
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Overview
Deep learning is a branch of machine learning that teaches computers to learn by example. Machine Learning belongs to the main category called Artificial Intelligence. Deep Learning uses algorithms inspired by the structure and function of the brain called artificial neural networks.
Backpropagation, the use of errors in Neural Networks gave way to Deep Learning models. Yann LeCun provided the first practical demonstration to read “handwritten” digits. Major applications of Deep Learning involve Self Driving Cars, News Segregation and Fraud News Detection, NLP or Natural Language Processing, and Virtual Personal Assistants. Prediction in Entertainment Industry, Visual Recognition, Healthcare etc
In this course, you will learn to code deep learning models using Python and Keras library. Using Multi-Layer perceptrons, Multi-Class models, Predictions with Models and also serializing the models.
What You Will Learn
Deep Learning and Convolutional Neural Networks using Python for Beginners
Learn to code Deep learning models using Python and Keras Library
Learn about Pima Indian Model
Learn how to develop Sonar Returns Model
Learn how to develop Boston Housing Baseline Model
Prerequisites
- Access to a computer
Course Content
Chapter 1: Deep Learning Overview - Theory Session
3 Videos | 0 hrs 13 mins
Deep Learning Overview - Theory Session - Part 1 Deep Learning Overview - Theory Session - Part 2 $7 Million Cybersecurity Scholarship by EC-Council Chapter 1 Quiz
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Chapter 2: Choosing Between ML or DL for the Next AI Project - Quick Theory Session
1 Videos | 0 hrs 9 mins
Choosing Between ML or DL for the Next AI Project - Quick Theory Session Chapter 2 Quiz
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Chapter 3: Preparing Your Computer
2 Videos | 0 hrs 13 mins
Preparing Your Computer - Part 1 Preparing Your Computer - Part 2 Chapter 3 Quiz
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Chapter 4: Python Basics
4 Videos | 0 hrs 35 mins
Python Basics - Assignment Python Basics - Flow Control Python Basics - Functions Python Basics - Data Structures Chapter 4 Quiz
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Chapter 5: Theano Library Installation and Sample Program to Test
1 Videos | 0 hrs 10 mins
Theano Library Installation and Sample Program to Test Chapter 5 Quiz
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Chapter 6: TensorFlow Library Installation and Sample Program to Test
1 Videos | 0 hrs 9 mins
TensorFlow Library Installation and Sample Program to Test Chapter 6 Quiz
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Chapter 7: Keras Installation and Switching Theano and TensorFlow Backends
1 Videos | 0 hrs 9 mins
Keras Installation and Switching Theano and TensorFlow Backends Chapter 7 Quiz
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Chapter 8: Explaining Multi-Layer Perceptron Concepts
1 Videos | 0 hrs 3 mins
Explaining Multi-Layer Perceptron Concepts Chapter 8 Quiz
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Chapter 9: Explaining Neural Networks Steps and Terminology
1 Videos | 0 hrs 10 mins
Explaining Neural Networks Steps and Terminology Chapter 9 Quiz
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Chapter 10: First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset
1 Videos | 0 hrs 6 mins
First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset Chapter 10 Quiz
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Chapter 11: Explaining Training and Evaluation Concepts
1 Videos | 0 hrs 11 mins
Explaining Training and Evaluation Concepts Chapter 11 Quiz
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Chapter 12: Pima Indian Model - Steps Explained
2 Videos | 0 hrs 16 mins
Pima Indian Model - Steps Explained - Part 1 Pima Indian Model - Steps Explained - Part 2 Capter 12 Quiz
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Chapter 13: Coding the Pima Indian Model
2 Videos | 0 hrs 20 mins
Coding the Pima Indian Model - Part 1 Coding the Pima Indian Model - Part 2 Chapter 13 Quiz
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Chapter 14: Pima Indian Model - Performance Evaluation - Verification
2 Videos | 0 hrs 14 mins
Pima Indian Model - Performance Evaluation - Automatic Verification Pima Indian Model - Performance Evaluation - Manual Verification Chapter 14 Quiz
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Chapter 15: Pima Indian Model - Performance Evaluation - k-fold Validation - Keras
1 Videos | 0 hrs 9 mins
Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Chapter 15 Quiz
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Chapter 16: Pima Indian Model - Performance Evaluation - Hyper Parameters
1 Videos | 0 hrs 11 mins
Pima Indian Model - Performance Evaluation - Hyper Parameters Chapter 16 Quiz
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Chapter 17: Understanding Iris Flower Multi-Class Dataset
1 Videos | 0 hrs 7 mins
Understanding Iris Flower Multi-Class Dataset
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Chapter 18: Developing the Iris Flower Multi-Class Model
3 Videos | 0 hrs 24 mins
Developing the Iris Flower Multi-Class Model - Part 1 Developing the Iris Flower Multi-Class Model - Part 2 Developing the Iris Flower Multi-Class Model - Part 3 Chapter 18
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Chapter 19: Understanding the Sonar Returns Dataset
1 Videos | 0 hrs 7 mins
Understanding the Sonar Returns Dataset Chapter 19 Quiz
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Chapter 20: Developing the Sonar Returns Model
1 Videos | 0 hrs 9 mins
Developing the Sonar Returns Model Chapter 20 Quiz
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Chapter 21: Sonar Performance Improvement - Data Preparation - Standardization
1 Videos | 0 hrs 14 mins
Sonar Performance Improvement - Data Preparation - Standardization Chapter 21 Quiz
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Chapter 22: Sonar Performance Improvement - Layer Tuning for Smaller Network
1 Videos | 0 hrs 6 mins
Sonar Performance Improvement - Layer Tuning for Smaller Network Chapter 22 Quiz
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Chapter 23: Sonar Performance Improvement - Layer Tuning for Larger Network
1 Videos | 0 hrs 6 mins
Sonar Performance Improvement - Layer Tuning for Larger Network Chapter 23 Quiz
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Chapter 24: Understanding the Boston Housing Regression Dataset
1 Videos | 0 hrs 6 mins
Understanding the Boston Housing Regression Dataset Chapter 24 Quiz
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Chapter 25: Developing the Boston Housing Baseline Model
1 Videos | 0 hrs 8 mins
Developing the Boston Housing Baseline Model Chapter 25 Quiz
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Chapter 26: Boston Performance Improvement by Standardization
1 Videos | 0 hrs 7 mins
Boston Performance Improvement by Standardization Chapter 26 Quiz
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Chapter 27: Boston Performance Improvement by Deeper Network Tuning
1 Videos | 0 hrs 5 mins
Boston Performance Improvement by Deeper Network Tuning Chapter 27 Quiz
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Chapter 28: Boston Performance Improvement by Wider Network Tuning
1 Videos | 0 hrs 3 mins
Boston Performance Improvement by Wider Network Tuning Chapter 28 Quiz
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Chapter 29: Save & Load the Trained Model as JSON File (Pima Indian Dataset)
2 Videos | 0 hrs 17 mins
Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 Chapter 29 Quiz Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2
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Chapter 30: Save and Load Model as YAML File - Pima Indian Dataset
1 Videos | 0 hrs 5 mins
Save and Load Model as YAML File - Pima Indian Dataset Chapter 30 Quiz
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Chapter 31: Load and Predict Using the Pima Indian Diabetes Model
1 Videos | 0 hrs 8 mins
Load and Predict Using the Pima Indian Diabetes Model Chapter 31 Quiz
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Chapter 32: Load and Predict Using the Iris Flower Multi-Class Model
1 Videos | 0 hrs 8 mins
Load and Predict Using the Iris Flower Multi-Class Model Chapter 32 Quiz
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Chapter 33: Load and Predict Using the Sonar Returns Model
1 Videos | 0 hrs 8 mins
Load and Predict Using the Sonar Returns Model Chapter 33 Quiz
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Chapter 34: Load and Predict Using the Boston Housing Regression Model
1 Videos | 0 hrs 7 mins
Load and Predict Using the Boston Housing Regression Model Chapter 34 Quiz
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Chapter 35: An Introduction to Checkpointing
1 Videos | 0 hrs 5 mins
An Introduction to Checkpointing Chapter 35 Quiz
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Chapter 36: Checkpoint Neural Network Model Improvements
1 Videos | 0 hrs 9 mins
Checkpoint Neural Network Model Improvements Chapter 36 Quiz
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Chapter 37: Checkpoint Neural Network Best Model
1 Videos | 0 hrs 3 mins
Checkpoint Neural Network Best Model Chapter 37 Quiz
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Chapter 38: Loading the Saved Checkpoint
1 Videos | 0 hrs 4 mins
Loading the Saved Checkpoint Chapter 38 Quiz
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Chapter 39: Plotting Model Behavior History
2 Videos | 0 hrs 13 mins
Plotting Model Behavior History - Introduction Plotting Model Behavior History - Coding Chapter 39 Quiz
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Chapter 40: Dropout Regularization - Visible Layer
2 Videos | 0 hrs 17 mins
Dropout Regularization - Visible Layer - Part 1 Dropout Regularization - Visible Layer - Part 2 Chapter 40 Quiz
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Chapter 41: Dropout Regularization - Hidden Layer
1 Videos | 0 hrs 6 mins
Dropout Regularization - Hidden Layer Chapter 41 Quiz
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Chapter 42: Learning Rate Schedule Using Ionosphere Dataset - Intro
1 Videos | 0 hrs 6 mins
Learning Rate Schedule Using Ionosphere Dataset Chapter 42 Quiz
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Chapter 43: Time Based Learning Rate Schedule
2 Videos | 0 hrs 18 mins
Time Based Learning Rate Schedule - Part 1 Time Based Learning Rate Schedule - Part 2 Chapter 43 Quiz
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Chapter 44: Drop Based Learning Rate Schedule
2 Videos | 0 hrs 15 mins
Drop Based Learning Rate Schedule - Part 1 Drop Based Learning Rate Schedule - Part 2 Chapter 44 Quiz Chapter 45 Quiz
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Chapter 45: Convolutional Neural Networks - Introduction
2 Videos | 0 hrs 16 mins
Convolutional Neural Networks - Part 1 Convolutional Neural Networks - Part 2
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Chapter 46: MNIST Handwritten Digit Recognition Dataset
2 Videos | 0 hrs 16 mins
Introduction to MNIST Handwritten Digit Recognition Dataset Downloading and Testing MNIST Handwritten Digit Recognition Dataset Chapter 46 Quiz
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Chapter 47: MNIST Multi-Layer Perceptron Model Development
2 Videos | 0 hrs 16 mins
MNIST Multi-Layer Perceptron Model Development - Part 1 MNIST Multi-Layer Perceptron Model Development - Part 2 Chapter 47 Quiz
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Chapter 48: Convolutional Neural Network Model Using MNIST
2 Videos | 0 hrs 25 mins
Convolutional Neural Network Model Using MNIST - Part 1 Convolutional Neural Network Model Using MNIST - Part 2 Chapter 48 Quiz
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Chapter 49: Large CNN Using MNIST
1 Videos | 0 hrs 8 mins
Large CNN Using MNIST Chapter 49 Quiz
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Chapter 50: Load and Predict using the MNIST CNN Model
1 Videos | 0 hrs 13 mins
Load and Predict using the MNIST CNN Model Chapter 50 Quiz
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Chapter 51: Introduction to Image Augmentation Using Keras
1 Videos | 0 hrs 10 mins
Introduction to Image Augmentation Using Keras Chapter 51 Quiz
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Chapter 52: Augmentation Using Sample Wise Standardization
1 Videos | 0 hrs 10 mins
Augmentation Using Sample Wise Standardization Chapter 52 Quiz
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Chapter 53: Augmentation Using Feature Wise Standardization & ZCA Whitening
1 Videos | 0 hrs 4 mins
Augmentation Using Feature Wise Standardization & ZCA Whitening Chapter 53 Quiz
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Chapter 54: Augmentation Using Rotation and Flipping
1 Videos | 0 hrs 4 mins
Augmentation Using Rotation and Flipping Chapter 54 Quiz
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Chapter 55: Saving Augmentation
1 Videos | 0 hrs 5 mins
Saving Augmentation Chapter 55 Quiz
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Chapter 56: CIFAR-10 Object Recognition Dataset - Understanding and Loading
1 Videos | 0 hrs 12 mins
CIFAR-10 Object Recognition Dataset - Understanding and Loading Chapter 56 Quiz
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Chapter 57: Simple CNN using CIFAR-10 Dataset
3 Videos | 0 hrs 24 mins
Simple CNN using CIFAR-10 Dataset - Part 1 Simple CNN using CIFAR-10 Dataset - Part 2 Simple CNN using CIFAR-10 Dataset - Part 3 Chapter 57 Quiz
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Chapter 58: Train and Save CIFAR-10 Model
1 Videos | 0 hrs 8 mins
Train and Save CIFAR-10 Model Chapter 58 Quiz
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Chapter 59: Load and Predict Using CIFAR-10 CNN Model
1 Videos | 0 hrs 15 mins
Load and Predict Using CIFAR-10 CNN Model Chapter 59 Quiz
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Instructor

Abhilash Nelson
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Learn moreReviews
5
128 reviews
Average Course Rating
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Top Student Reviews
David Stewart
Well laid out course with small sections that are easy to review and use as tutorials
BHABESH KUMAR DAS
nice course
Rituraj Shaw
content
As usual, the presenter delivered an excellent series of videos, combining theory and practice.
GM Varun
good
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