Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python Pdf is written by Jojo John Moolayil that you can download for free.Learn, understand, and execute deep neural networks at a mathematics – and programming-friendly strategy using Keras and Python. The general book contains three segments using two chapters in each section. The very first segment reminds you with all the required basics to begin in profound learning. Chapter 1 introduces you into the world of profound learning and its difference from machine learning, the options of frameworks for profound learning, as well as also the Keras ecosystem. You may pay for a real-life business issue which may be solved by supervised learning algorithms with neural networks that are deep. You will tackle 1 use case for regression and yet another for classification using well-known Kaggle datasets.Later, you will observe a fascinating and challenging portion of profound learning: hyperparameter tuning; assisting you further enhance your versions when constructing robust profound learning software.
Last, you’ll further hone your abilities in profound learning and cover regions of active growth and study in profound learning. In the conclusion of Learn Keras to get Deep Neural Networks, you’ll have a comprehensive comprehension of profound learning fundamentals and also have practical hands-on knowledge in creating enterprise-grade profound learning options at Keras.What you will Learn Master fast-paced deep learning theories with mathematics – and – programming-friendly abstractions. Design, build, train, support, and deploy profound neural networks utilizing the Keras frame Utilize best practices for debugging and supporting profound learning versions Deploy and incorporate deep learning for a service right into a bigger software service or merchandise Extend profound learning principles to other popular frameworks
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