Deep Learning — księgarnia Helion — strona 16

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AI Crash Course. A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python

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Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library

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Głębokie uczenie z TensorFlow. Od regresji liniowej po uczenie przez wzmacnianie

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Głębokie uczenie z TensorFlow. Od regresji liniowej po uczenie przez wzmacnianie

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Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j

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PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python

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Practical Deep Learning for Cloud, Mobile, and Edge. Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow

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Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS

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Programming PyTorch for Deep Learning. Creating and Deploying Deep Learning Applications

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Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks

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Deep Learning

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Building Intelligent Cloud Applications. Develop Scalable Models Using Serverless Architectures with Azure

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Deep Learning from Scratch. Building with Python from First Principles

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Machine Learning for OpenCV 4. Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn - Second Edition

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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems. 2nd Edition

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What's New in TensorFlow 2.0. Use the new and improved features of TensorFlow to enhance machine learning and deep learning

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Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go

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Hands-On Artificial Intelligence for Cybersecurity. Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies

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Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow

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Data Science with Python. Combine Python with machine learning principles to discover hidden patterns in raw data

Rohan Chopra, Aaron England, Mohamed Noordeen Alaudeen

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Algorytmy uczenia maszynowego. Zaawansowane techniki implementacji

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Algorytmy uczenia maszynowego. Zaawansowane techniki implementacji

Giuseppe Bonaccorso

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Strengthening Deep Neural Networks. Making AI Less Susceptible to Adversarial Trickery

Katy Warr

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Deep Learning. Receptury

Douwe Osinga

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