Learn to design and build deep learning models with Keras
About This Video
In Detail
Welcome to hands-on Keras for machine learning engineers. This is a carefully structured course to …
Learn to design and build deep learning models with Keras
About This Video
In Detail
Welcome to hands-on Keras for machine learning engineers. This is a carefully structured course to guide you in your journey to learn deep learning in Python with Keras. Discover the Keras Python library for deep learning and learn the process of developing and evaluating deep learning models using it.
There are two top numerical platforms for developing deep learning models; they are Theano, developed by the University of Montreal, and TensorFlow developed at Google. Both were developed for use in Python and both can be leveraged by the super-simple-to-use Keras library. Keras wraps the numerical computing complexity of Theano and TensorFlow, providing a concise API that we will use to develop our own neural network and deep learning models. Keras has become the gold standard in the applied space for rapid prototyping deep learning models.
This course is a hands-on guide. It is a playbook and a workbook intended for you to learn by doing and then apply your new understanding to your own deep learning Keras models.
Who this book is for
This course is for developers, machine learning engineers, and data scientists that want to learn how to get the most out of Keras. You do not need to be a machine learning expert, but it would be helpful if you knew how to navigate a small machine learning problem using SciKit-Learn. Basic concepts such as cross-validation and one-hot encoding used in lessons and projects are described, but only briefly. With all of this in mind, this is an entry-level course on the Keras library.
Chapter 1 : Introduction
Introduction
What You’ll Learn in this Course
Is this Course Right for You?
What is Keras?
Chapter 2 : Foundations
Theano
TensorFlow
Artificial Neural Network Anatomy
Deep Learning
Keras Life Cycle
Keras Code Anatomy
Demo: Case Study on Pima Indian Diabetes Dataset: Load Data
Demo: Case Study on Pima Indian Diabetes Dataset: Define and Compile
Demo: Case Study on Pima Indian Diabetes Dataset: Fit and Evaluate
Performance Evaluation on Neural Networks
Demo: Case Study on Data Segmentation
Scikit-Learn for General Machine Learning
Evaluate Models with Cross-Validation
Grid Search Deep Learning Model Parameters
Demo: Case Study on Multiclass Classification
Demo: Case Study on Multiclass Classification: Part 2
Demo: Case Study on Binary Classification
Demo: Case Study on Binary Classification: Part 2
Demo: Case Study on Binary Classification: Part 3
Demo: Case Study on Binary Classification: Part 4
Demo: Case Study on Regression
Demo: Case Study on Regression: Part 2
Demo: Case Study on Regression: Part 3
Chapter 3 : Going Deeper with Keras
Model Serialization
Save Neural Network to JSON
Save Neural Network to YAML
Demo: Case Study on Checkpointing
Demo: Case Study on Checkpointing: Part 2
Plotting History
Visualize Model Training History in Keras
Demo: Case Study on Dropping Out
Demo: Case Study on Dropping Out: Part 2
Dropout Tips
Learning Rate Defined
Configure Learning Rate
Demo: Case Study on Learning Rates
Demo: Case Study on Learning Rates: Part 2
Demo: Case Study on Learning Rates: Part 3
Chapter 4 : Convolutional Neural Networks
Convolutional Neural Networks
Demo: Case Study on Handwritten Digit Recognition
Demo: Case Study Handwritten Digit Recognition: Part 2
Demo: Case Study on Handwritten Digit Recognition: Part 3
Demo: Case Study on Handwritten Digit Recognition: Part 4
Image Augmentation
Demo: Case Study on Image Augmentation
Demo: Case Study on Image Augmentation: Part 2
Image Augmentation Tips
Object Recognition
Demo: Case Study on Object Recognition
Improving Model Performance
Sentiment Analysis in Keras
IMDB Dataset Properties
Word Embedding Defined
Demo: Case Study on Word Embedding
Demo: Case Study on Word Embedding: Part 2
Chapter 5 : Recurrent Neural Networks
Recurrent Neural Networks
Demo: Case Study on Time Series Prediction
Demo: Case Study on Time Series Prediction: Part 2
Demo: Case Study on Time Series Prediction: Part 3
Demo: Case Study on Time Series Prediction with LSTM
Demo: Case Study on Time Series Prediction with LSTM: Part 2
Demo: Case Study on Time Series Prediction with LSTM: Part 3
Demo: Case Study on Sequence Classification
Demo: Case Study on Sequence Classification: Part 2