My book "Hands-on Deep Learning with Apache Spark" is finally available on Packt. Here's the final cover: This is the book content: 1: THE APACHE SPARK ECOSYSTEM 2: DEEP LEARNING BASICS 3: EXTRACT, TRANSFORM, LOAD 4: STREAMING 5: CONVOLUTIONAL NEURAL NETWORKS 6: RECURRENT NEURAL NETWORKS 7: TRAINING NEURAL NETWORKS WITH SPARK 8: MONITORING AND DEBUGGING NEURAL NETWORK TRAINING 9: INTERPRETING NEURAL NETWORK OUTPUT 10: DEPLOYING ON A DISTRIBUTED SYSTEM 11: NLP BASICS 12: TEXTUAL ANALYSIS AND DEEP LEARNING 13: CONVOLUTION 14: IMAGE CLASSIFICATION 15: WHAT'S NEXT FOR DEEP LEARNING? DeepLearning4J (Scala), but also Keras and TensorFlow (Python) are the reference frameworks. More topics on Deep Learning on the JVM and Spark would be covered in the next months in this blog.
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