Deep Learning — księgarnia Helion — strona 15

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Generative Adversarial Networks with Industrial Use Cases

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Advanced Deep Learning with TensorFlow 2 and Keras. Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more - Second Edition

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Hands-On ROS for Robotics Programming. Program highly autonomous and AI-capable mobile robots powered by ROS

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Fundamentals of Deep Learning and Computer Vision

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Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x

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Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition

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Oracle GoldenGate With Microservices

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Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - Second Edition

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Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Second Edition

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Hands-On Genetic Algorithms with Python. Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems

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Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition

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Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition

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Artificial Intelligence and Deep Learning for Decision Makers

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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition

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Hands-On Neuroevolution with Python. Build high-performing artificial neural network architectures using neuroevolution-based algorithms

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ROS Robotics Projects. Build and control robots powered by the Robot Operating System, machine learning, and virtual reality - Second Edition

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Advanced Deep Learning with R. Become an expert at designing, building, and improving advanced neural network models using R

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TensorFlow. 13 praktycznych projektów wykorzystujących uczenie maszynowe

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TensorFlow. 13 praktycznych projektów wykorzystujących uczenie maszynowe

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Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

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Hands-On Generative Adversarial Networks with PyTorch 1.x. Implement next-generation neural networks to build powerful GAN models using Python

John Hany, Greg Walters

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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition

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Zrozumieć głębokie uczenie

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