Packt Java Deep Learning Projects 2018

Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs.
1. Cancer Types Prediction Using Recurrent Type Networks, demonstrates how to develop a DL application for cancer type classification from a very-high-dimensional gene expression dataset.
2. Multi-Label Image Classification Using Convolutional Neural Networks.
3. Sentiment Analysis Using Word2Vec and the LSTM Network
4. Transfer Learning for Image Classification
5. Real-Time Object Detection Using YOLO, JavaCV, and DL4J
6. Stock Price Prediction Using the LSTM Network
7. Distributed Deep Learning on Cloud – Video Classification Using Convolutional LSTM Network
8. Playing GridWorld Game Using Deep Reinforcement Learning
9. Developing Movie Recommendation Systems Using Factorization Machines