Keras Deep Learning Projects [Video]

Preview in Mapt

Keras Deep Learning Projects [Video]

Tsvetoslav Tsekov

Learn to build cutting-edge Deep Learning models in a simple, easy to understand way.

Quick links: > What will you learn?> Table of content

Mapt Subscription
FREE
$29.99/m after trial
Video
$106.25
RRP $124.99
Save 14%
What do I get with a Mapt Pro subscription?
  • Unlimited access to all Packt’s 5,000+ eBooks and Videos
  • Early Access content, Progress Tracking, and Assessments
  • 1 Free eBook or Video to download and keep every month after trial
What do I get with an eBook?
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the Mapt reader
What do I get with Print & eBook?
  • Get a paperback copy of the book delivered to you
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the Mapt reader
What do I get with a Video?
  • Download this Video course in MP4 format
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the Mapt reader
$0.00
$106.25
$29.99 p/m after trial
RRP $124.99
Subscription
Video
Start 14 Day Trial

Frequently bought together


Keras Deep Learning Projects [Video] Book Cover
Keras Deep Learning Projects [Video]
$ 124.99
$ 106.25
Deep Learning with Keras [Video] Book Cover
Deep Learning with Keras [Video]
$ 124.99
$ 106.25
Buy 2 for $35.00
Save $214.98
Add to Cart

Video Details

ISBN 139781788624688
Course Length2 hours and 43 minutes

Video Description

Keras is a deep learning library for fast, efficient training of deep learning models, and can also work with Tensorflow and Theano. Because it is lightweight and very easy to use, Keras has gained quite a lot of popularity in a very short time.

This course will show you how to leverage the power of Keras to build and train high performance, high accuracy deep learning models, by implementing practical projects in real-world domains.Spanning over three hours, this course will help you master even the most advanced concepts in deep learning and how to implement them with Keras. You will train CNNs, RNNs, LSTMs, Autoencoders and Generative Adversarial Networks using real-world training datasets.

These datasets will be from domains such as Image Processing and Computer Vision, Natural Language Processing, Reinforcement Learning and more.By the end of this highly practical course, you will be well-versed with deep learning and its implementation with Keras.

By the end of this course, you will have all the knowledge you need to train your own deep learning models to solve different kinds of problems.

Style and Approach

The course aims to explains the Deep Learning concepts in a simple, easy to understand manner and provides intuitive knowledge of the subjects. After you have grasped the concepts of a model, you will learn how to implement it with Keras.

Table of Contents

Introduction to Jupyter Notebooks and Data Shapes
The Course Overview
Jupyter Notebook Basics
Data Shapes
Neural Network for House Price Prediction
Neural Networks and How They Are Implemented with Keras
Building Connected Layers and Applying Activation Functions
Applying Loss Functions and Optimizers for Backpropagation
Advanced Implementation with Keras
Training the Model
Testing the Model
Metrics and Improving Performance
Convolutional Neural Network for Image Classification
Concepts of CNNs
Applying Filters, Strides, Padding, and Pooling
Basic Implementation with Keras
Leaky Rectified Linear Units
Dropout
Advanced Implementation with Keras
Training the Model
Testing the Model and Metrics
Transfer Learning
Convolutional Autoencoder for Image Denoising
Concepts and Applications of Autoencoders
Basic Implementation with Keras
Advanced Implementation with Keras
Convolutional Autoencoder with Keras
Training the Model
Testing the Model
Recurrent Neural Network for Machine Translation
Concepts of RNNs, LSTM Cells, and GRU Cells
Data Preprocessing
Building a Simple RNN Model in Keras
Advanced Implementation with Keras
Training the Model
Testing the Model
Convolutional GAN for Image Generation
Concepts and Applications of GANs
Batch Normalization
Convolutional GAN with Keras
Training the Model
Testing the Model

What You Will Learn

  • Grasp the Concepts and intuitive understating of Deep Learning
  • Build your own Multilayer Neural Networks
  • Explore the Concepts of Convolutional Neural Networks and Recurrent Neural Networks
  • Build Convolutional Neural Networks and Recurrent Neural Networks
  • Use transfer learning to greatly increase CNN performance
  • Use Concepts, intuitive understating and applications of Autoencoders and Generative Adversarial Networks
  • Build Auto encoders and Generative Adversarial Networks

Authors

Table of Contents

Introduction to Jupyter Notebooks and Data Shapes
The Course Overview
Jupyter Notebook Basics
Data Shapes
Neural Network for House Price Prediction
Neural Networks and How They Are Implemented with Keras
Building Connected Layers and Applying Activation Functions
Applying Loss Functions and Optimizers for Backpropagation
Advanced Implementation with Keras
Training the Model
Testing the Model
Metrics and Improving Performance
Convolutional Neural Network for Image Classification
Concepts of CNNs
Applying Filters, Strides, Padding, and Pooling
Basic Implementation with Keras
Leaky Rectified Linear Units
Dropout
Advanced Implementation with Keras
Training the Model
Testing the Model and Metrics
Transfer Learning
Convolutional Autoencoder for Image Denoising
Concepts and Applications of Autoencoders
Basic Implementation with Keras
Advanced Implementation with Keras
Convolutional Autoencoder with Keras
Training the Model
Testing the Model
Recurrent Neural Network for Machine Translation
Concepts of RNNs, LSTM Cells, and GRU Cells
Data Preprocessing
Building a Simple RNN Model in Keras
Advanced Implementation with Keras
Training the Model
Testing the Model
Convolutional GAN for Image Generation
Concepts and Applications of GANs
Batch Normalization
Convolutional GAN with Keras
Training the Model
Testing the Model

Video Details

ISBN 139781788624688
Course Length2 hours and 43 minutes
Read More

Read More Reviews

Recommended for You

Deep Learning with Keras [Video] Book Cover
Deep Learning with Keras [Video]
$ 124.99
$ 106.25
Advanced Deep Learning with Keras [Video] Book Cover
Advanced Deep Learning with Keras [Video]
$ 124.99
$ 106.25
TensorFlow and the Google Cloud ML Engine for Deep Learning [Video] Book Cover
TensorFlow and the Google Cloud ML Engine for Deep Learning [Video]
$ 19.99
$ 17.00
Building Advanced OpenCV3 Projects with Python [Video] Book Cover
Building Advanced OpenCV3 Projects with Python [Video]
$ 124.99
$ 106.25
Artificial Intelligence with Python – Deep Neural Networks [Video] Book Cover
Artificial Intelligence with Python – Deep Neural Networks [Video]
$ 124.99
$ 106.25
From 0 to 1: C Programming - Drill Deep [Video] Book Cover
From 0 to 1: C Programming - Drill Deep [Video]
$ 50.99
$ 43.35