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“valerio maggio”

Showing 1 - 12 of 12 results for “valerio maggio”
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  • Advanced Deep Learning with Keras

    Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

    by Rowel Atienza, Neeraj Verma, Valerio Maggio ...
    Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existenceKey FeaturesExplore the most advanced deep learning techniques that drive modern AI resultsImplement deep neural networks, autoencoders, GANs, VAEs, and deep reinforcement learningA wide study of GANs, including Improved GANs, Cross-Domain GANs, and Disentangled Representation ... Read more

    $34.19 USD or Free with Kobo Plus

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  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    by Aurélien Géron ...
    Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Read more

    $55.49 USD

  • Build a Large Language Model (From Scratch)

    by Sebastian Raschka ...
    Series series From Scratch
    How to implement LLM attention mechanisms and GPT-style transformers.In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks ... Read more

    $49.99 USD

  • Machine Learning with PyTorch and Scikit-Learn

    Develop machine learning and deep learning models with Python

    by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili ...
    This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice ... Read more

    $39.59 USD or Free with Kobo Plus

  • Learning OpenCV

    Computer Vision with the OpenCV Library

    by Gary Bradski, Adrian Kaehler ...
    "This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the ... Read more

    $28.79 USD

  • Generative AI with Python and TensorFlow 2

    Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

    by Joseph Babcock, Raghav Bali ...
    This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook ... Read more

    $50.39 USD or Free with Kobo Plus

  • Practical Deep Learning

    A Python-Based Introduction

    by Ronald T. Kneusel ...
    Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you ... Read more

    $35.99 USD

  • Python: Advanced Guide to Artificial Intelligence

    Expert machine learning systems and intelligent agents using Python

    by Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani ...
    Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementationBuild deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production ... Read more

    $35.99 USD or Free with Kobo Plus

  • Learning OpenCV 3

    Computer Vision in C++ with the OpenCV Library

    by Adrian Kaehler, Gary Bradski ...
    Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics, roboticists, and hobbyists. You’ll learn what it takes to build applications that enable computers to "see" and make decisions based on that data.With ... Read more

    $52.59 USD

  • Deep Reinforcement Learning Hands-On

    Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

    by Maxim Lapan, Oleg Vasilev, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla ...
    Publisher\\'s Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques is now available.Key FeaturesExplore deep reinforcement learning (RL), from the first principles to ... Read more

    $37.79 USD or Free with Kobo Plus

  • Mastering PyTorch

    Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond

    by Ashish Ranjan Jha ...
    Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesUnderstand how to use PyTorch to build advanced neural network modelsGet the best from ... Read more

    $37.79 USD or Free with Kobo Plus

  • Advanced Deep Learning with Python

    Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

    by Ivan Vasilev ...
    Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystemKey FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep ... Read more

    $34.19 USD or Free with Kobo Plus