Deep Learning — księgarnia — strona 11

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Uczenie maszynowe z użyciem Scikit-Learn, Keras i TensorFlow. Wydanie III

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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems

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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python

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Hands-on TinyML

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Pretrain Vision and Large Language Models in Python. End-to-end techniques for building and deploying foundation models on AWS

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Machine Learning with R. Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data - Fourth Edition

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Machine Learning for Education

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Applied Deep Learning

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Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

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Deep Learning on Microcontrollers

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Hands-On Graph Neural Networks Using Python. Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

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Hands-On Computer Vision with Detectron2. Develop object detection and segmentation models with a code and visualization approach

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A Practical Guide to Quantum Machine Learning and Quantum Optimization. Hands-on Approach to Modern Quantum Algorithms

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Computer Vision on AWS. Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker

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