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personal assistants, automated translation, and autonomous vehicles. An Introduction to Deep Learning Business Applications for Developers covers;
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sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics;
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, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image;
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, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image;
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solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for;
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. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers;
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Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning Key;
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and text-to-speech functionality Engage with chatbots using deep learning Who This Book Is For Data scientists and developers who;
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network Interactive AI for browser games using deep reinforcement learning Generative neural networks to generate music and pictures;
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deployment at scale Who This Book Is For Software engineers and enterprise architects who wish to understand machine learning and deep learning by;
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, biomedical engineering, and object tracking using deep learning methodologies. The book provides a pragmatic direction for researchers who wish to;
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your machines to see by mastering the technologies required for image recognition Book DescriptionDeep learning is rapidly becoming the most;
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Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering;
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with introduction to F# and prepare yourselves for machine learning using .NET framework. You will be writing a simple linear regression model;
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learning that's followed by numerous applications in a wide variety of contexts. In this book, he opens the door to his journey of understanding;
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computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are;
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for developers with a basic knowledge of C++. Developers familiar with mainstream deep learning frameworks can also refer to this book to;
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and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or;
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have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;
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, to speech recognitionStarting with an introduction to basic machine learning algorithms, this course takes you further into this vital world;
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Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;
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