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Generative Deep Learning Teaching Machines to Paint, Write, Compose and Play

, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the;

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Generative AI with Python and TensorFlow 2

explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You'll learn how to;

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Practical MATLAB Deep Learning

provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the;

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Practical MATLAB Deep Learning

provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, yoüll see how these toolboxes provide the;

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Novel Education

of counseling, social work, education, and psychotherapy and anyone involved in the learning lives of others. An invitation to write, to play, to be;

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Strategies for Teaching Elementary and Middle-Level Chorus

These strategies ask students to make musical decisions, reflect on their learning, and demonstrate discovery through performance. They;

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TensorFlow Deep Learning Projects

techniques to play games. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow;

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Introduction to Machine Learning with Applications in Information Security

Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and Linear;

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Python Deep Learning

in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current;

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Machine Learning for Future Fiber-Optic Communication Systems

practices. The book gives knowledge and insights into the role machine learning-based mechanisms will soon play in the future realization;

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The Creativity Code

how long it might be before machines compose a symphony or paint a masterpiece, and whether they might jolt us into being more imaginative;

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Machine Learning

then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector;

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Deep Learning

and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic;

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Introduction to Machine Learning

, multivariate analysis, hidden Markov models, reinforcement learning, kernel machines, graphical models, Bayesian estimation, and statistical testing;

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Advanced Deep Learning with Keras

detection, and semantic segmentation, has now been published. A comprehensive guide to advanced deep learning techniques, including autoencoders;

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TensorFlow 2.0 Computer Vision Cookbook

enables machines to identify and process digital images and videos. This book focuses on independent recipes to help you perform various computer;

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Deep Learning with Theano

Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial;

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Hands-On Convolutional Neural Networks with TensorFlow

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for;

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Hands-On Deep Learning Algorithms with Python

Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications. Key;

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Reinforcement Learning for Finance

. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and;

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Fiorella & Mayer's Generative Learning in Action

of attention has been paid to the teaching and learning from the perspective of effective instruction, Generative Learning looks at the flip side;

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Facilitating Deep Learning

* Design and implement courses that encourage students to take a deep approach to learning * Design engaging and innovative teaching and;

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Facilitating Deep Learning

and implement courses that encourage students to take a deep approach to learning * Design engaging and innovative teaching and learning;

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Purposeful Play

to deepen regular classroom learning teach into play to foster social-emotional skills and a growth mindset bring the;

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Deep Learning for the Life Sciences

sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics;

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Deep Learning with TensorFlow 2 and Keras

2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You'll learn how to;

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Learning as a Generative Activity

: summarizing, mapping, drawing, imagining, self-testing, self-explaining, teaching, and enacting. Each chapter describes and exemplifies a learning;

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