Szczegóły ebooka

Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Md. Rezaul Karim

Ebook
Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts.

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.

You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you’ll be able to use their features to build and deploy projects on distributed computing environments.

You will then explore advanced domains such as transfer learning and deep reinforcement learning using the Java ecosystem, covering various real-world domains such as healthcare, NLP, image classification, and multimedia analytics with an easy-to-follow approach. Expert reviews and tips will follow every project to give you insights and hacks.

By the end of this book, you will have stepped up your expertise when it comes to deep learning in Java, taking it beyond theory and be able to build your own advanced deep learning systems.
  • 1. Getting Started with Deep Learning
  • 2. Cancer Type Prediction using Recurrent Type Networks
  • 3. Image Classification using Convolutional Neural Networks
  • 4. Sentiment Analysis using Word2Vec and LSTM Networks
  • 5. Image Classification using Transfer Learning
  • 6. Real-Time Object Detection Using YOLO, JavaCV, and DL4J
  • 7. Stock Price Prediction Using the LSTM Network
  • 8. Distributed Deep Learning – Video Classification Using Convolutional-LSTM Networks
  • 9. Using Deep Reinforcement Learning for a GridWorld Game
  • 10. Movie Recommendation System using Factorization Machines
  • 11. Discussion, Current Trends, and Outlook
  • Tytuł: Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
  • Autor: Md. Rezaul Karim
  • Tytuł oryginału: Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
  • ISBN: 9781788996525, 9781788996525
  • Data wydania: 2018-06-29
  • Format: Ebook
  • Identyfikator pozycji: e_14x7
  • Wydawca: Packt Publishing