Java Deep Learning Projects

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

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