Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several projects using different deep neural network architectures such as multilayer perceptrons, Deep Belief Networks, CNN, LSTM, and Factorization Machines. (Limited-time offer)
Table of Contents
- Getting Started with Deep Learning
- Cancer Types Prediction Using Recurrent Type Networks
- Multi-Label Image Classification Using Convolutional Neural Networks
- Sentiment Analysis Using Word2Vec and LSTM Network
- Transfer Learning for Image Classification
- Real-Time Object Detection using YOLO, JavaCV, and DL4J
- Stock Price Prediction Using LSTM Network
- Distributed Deep Learning – Video Classification Using Convolutional LSTM Networks
- Playing GridWorld Game Using Deep Reinforcement Learning
- Developing Movie Recommendation Systems Using Factorization Machines
- Discussion, Current Trends, and Outlook
Download Free PDF / Read Online
Author(s): Md. Rezaul Karim
Publisher: Packt Publishing
Published: June 2018
Format(s): Online
File size: –
Number of pages: 436
Download / View Link(s): This offer has ended.
Free as of 09/15/2022.
Publisher: Packt Publishing
Published: June 2018
Format(s): Online
File size: –
Number of pages: 436
Download / View Link(s): This offer has ended.
Free as of 09/15/2022.