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Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them;
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and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly;
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concepts and constructs of applied deep learning Create machine learning models with clean and reliable Python code Work with datasets common to;
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looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book;
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This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars;
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recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python;
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through the key elements of Python and its powerful machine learning libraries with the help of real world projects.;
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Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;
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is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python;
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is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python;
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Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;
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that are otherwise invisible to us. Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its;
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This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;
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The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better. - Todd;
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foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across;
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Beginning-Intermediate;...
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to build. This book teaches you state-of-the-art deep learning models in an applied manner with the only requirement being an Internet;
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This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an;
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This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an;
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With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You'll work through;
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Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web;
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Einde inhoud
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