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搜尋結果共 324 筆, 頁數 2 / 6
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Production-Ready Applied Deep Learning: Learn how to construct and deploy complex models in PyTorch and TensorFlow deep
Learn how to develop PyTorch and TensorFlow models at scale using Amazon Web Services Explore effective solutions to various...... more |
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計算機視覺應用構建：OpenCV與TensorFlow實例
本書首先介紹了影像處理基礎知識、構建電腦視覺系統、深度學習與人工神經網路，然後重點闡述了深度學習用於圖像識別及目標檢測。 之後，本書通過多個案例來介紹深度學習在電腦視覺方面的應用，同時探討了雲上電腦... more |
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Natural Language Processing with TensorFlow - Second Edition: The definitive NLP book to implement the most
Learning to solve common NLP problems effectively is an important skill to master due to its popularity. TensorFlow is...... more |
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Effective Use of TensorFlow and PyTorch
Introducing Practical Smart Agents Development using Python, PyTorch, and TensorFlow KEY FEATURES ● Exposure to...... more |
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Automated Deep Learning Using Neural Network Intelligence: Develop and Design Pytorch and Tensorflow Models Using
Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network...... more |
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Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data
Work with TensorFlow and Keras for real performance of deep learningKey FeaturesCombines theory and implementation with...... more |
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Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition...... more |
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Hands-On Artificial Intelligence for Android: Understand Machine Learning and Unleash the Power of TensorFlow in
, training, and evaluating your own machine learning models.Includes pre-trained TensorFlow models for image processing.Explains...... more |
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Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning
learning process. The basics of machine learning, which are needed for Deep Learning, are explained in this book. TensorFlow is...... more |
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Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks
learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online...... more |
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Programming with TensorFlow: Solution for Edge Computing Applications
This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you...... more |
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The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets
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Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
and making AI programs. The Tensorflow/Keras library along with Numpy and Scikit-Learn are covered as well. Once you’ve...... more |
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A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and
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A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and
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State-Of-The-Art Deep Learning Models in Tensorflow: Modern Machine Learning in the Google Colab Ecosystem
Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on...... more |
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Tensorflow 2 Pocket Reference
This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various...... more |
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AI for Healthcare with Keras and Tensorflow 2.0: Design, Develop, and Deploy Machine Learning Models Using Healthcare
Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine...... more |
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Learning Tensorflow.Js: Machine Learning in JavaScript
Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework...... more |
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Machine Learning Using TensorFlow Cookbook: Over 60 recipes on machine learning using deep learning solutions from
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Generative AI with Python and TensorFlow 2: Harness the power of generative models to create images, text, and music
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Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js
human pose estimation strategies. For training and deploying your ML models in the browser, TensorFlow.js libraries will be...... more |
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Deep Reinforcement Learning with Python: With Pytorch, Tensorflow and Openai Gym
deep reinforcement learning implementation using popular deep learning frameworks such as TensorFlow and PyTorch. In the...... more |
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TensorFlow 2.0 Computer Vision Cookbook: Implement machine learning solutions to overcome various computer vision
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Computer Vision Using Deep Learning: Neural Network Architectures with Python, Keras, and Tensorflow
you create solutions using Keras and the TensorFlow library. You’ll also review mutliple neural network architectures...... more |
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Machine Learning and Deep Learning Using Python and Tensorflow
and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance...... more |
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Advanced Natural Language Processing with TensorFlow 2: Build real-world effective NLP applications using NER, RNNs
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, PyTorch, TensorFlow, BERT, RoBER
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Programming with Tensorflow: Solution for Edge Computing Applications
This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you...... more |
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TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and deploy learning agents for
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Tensorflow 2.X in the Colaboratory Cloud: An Introduction to Deep Learning on Google’’s Cloud Service
Use TensorFlow 2.x with Google’s Colaboratory (Colab) product that offers a free cloud service for Python programmers...... more |
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Deep Learning with Swift for Tensorflow: Differentiable Programming with Swift
Chapter 1: Machine Learning Basics Chapter 2: Essential Math Chapter 3: Differential Programming Chapter 4: TensorFlow...... more |
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Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization
Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep...... more |
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Hands-On Image Generation with TensorFlow: A practical guide to generating images and videos using deep learning
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Applied Neural Networks with Tensorflow 2.0: API Oriented Deep Learning
Implement deep learning applications using TensorFlow while learning the "why" through in-depth conceptual explanations...... more |
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Learn TensorFlow Enterprise: Build, manage, and scale machine learning workloads seamlessly using Google’’s TensorFlow
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Machine Learning for Economics and Finance in Tensorflow 2: Deep Learning Models for Empirical Work
. TensorFlow offers a toolset that can be used to define and solve any graph-based model, including those commonly used in...... more |
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Artificial Neural Networks with Tensorflow 2: Ann Architecture Machine Learning Projects
coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects. After learning what’s new...... more |
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Practical Machine Learning in JavaScript: Tensorflow.Js for Web Developers
example projects with TensorFlow.js. Using these skills and your knowledge as a web developer, you’ll add a whole new field of...... more |
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Python Machine Learning by Example - Third Edition: Build intelligent systems using Python, TensorFlow 2, PyTorch, and
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1 Python Machine Learning: Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine
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Machine Learning Concepts with Tensorflow 2.0: Python Programming and the Jupyter Notebook Environment
Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook...... more |
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Practical Tensorflow.Js: Deep Learning in Web App Development
Develop and deploy deep learning web apps using the TensorFlow.js library. TensorFlow.js is part of a bigger...... more |
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Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow
learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days...... more |
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The Applied TensorFlow and Keras Workshop: Develop your practical skills by working through a real-world project and
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Deep Learning Projects Using Tensorflow 2: Neural Network Development with Python and Keras
Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the...... more |
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, Django, and TensorFlow
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Mastering Computer Vision with TensorFlow 2.x
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
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Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition
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TensorFlow, Interface PCF8
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Deep Learning Pipeline: Building a Deep Learning Model with Tensorflow
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book...... more |
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Deep Learning with TensorFlow 2 and Keras - Second Edition
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Scikit-learn and Tensorflow
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Scikit-Learn and Tensorflow
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Python Machine Learning: Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine
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tensorflow with
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Hands-On Machine Learning with TensorFlow.js
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& Tensorflow
the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow...... more |
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, Scikit-Learn And TensorFlow
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