Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

• Obtain optimal PostgreSQL 10 database performance, ranging from initial design to routine maintenance
• Fine tune the performance of your queries and...

• A quick reference to all important deep learning concepts and their implementations
• Essential tips, tricks, and hacks to train a variety of deep learning...

Solr in Action is a comprehensive guide to implementing scalable search using Apache Solr. This clearly written book walks you through well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. It will give you a deep understanding of how...

• Build efficient and concurrent applications in Delphi with focused examples
• Identify performance bottlenecks and apply the correct algorithm to increase the performance of applications.
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• Discover high-performing machine learning algorithms and understand how they work in depth
• One-stop solution to mastering supervised, unsupervised, and...