Intro to TensorFlow - For iOS & Android

所在平台: Udemy

课程主页: https://www.udemy.com/course/intro-to-tensorflow-for-ios-android/

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**课程名称:** TensorFlow 入门:为 iOS 和 Android **课程概述:** 本课程旨在为对移动机器学习感兴趣的初学者提供基础知识。课程涵盖了 TensorFlow 1.4.1 的介绍,以及它如何简化机器学习开发。您将学习到机器学习和人工智能在日常生活中的应用,并了解如何利用 TensorFlow 构建模型。 **学习内容包括:** * **环境探索:** PyCharm 2017.2.3、Python 3.6.2、Android Studio 3 和 Java 8。 * **机器学习基础:** 了解机器学习和人工智能的概念,以及它们在日常生活中的实际应用。 * **TensorFlow 核心:** 学习 TensorFlow 1.4.1 的基本原理和功能。 * **模型构建:** 通过构建线性回归模型来拟合数据,以及使用 MNIST 数据集创建一个简单的手写数字识别项目。 * **移动应用集成:** 学习如何将机器学习模型集成到 Android 应用中。 * **TensorFlow 概念:** 理解 TensorFlow 估计器与传统计算图的区别。 **课程特色:** * **移动端专注:** 区别于市面上大多数专注于桌面环境的机器学习课程,本课程特别关注移动机器学习。 * **循序渐进:** 提供清晰、简洁的步骤解释,帮助学习者不仅复现,更能理解和扩展所学知识。 * **零门槛:** 无需任何机器学习或特定编程语言的先验知识,课程将教授所需技能。 * **职业发展:** 帮助您进入需求旺盛的机器学习领域,为您的职业生涯开启新篇章。 **适合人群:** * 想要构建更智能、更复杂的移动应用的学习者。 * 对移动设备上的机器学习工作原理感兴趣的任何人。 * 希望入门机器学习领域的初学者。

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This course was funded by a wildly successful Kickstarter Explore PyCharm 2017.2.3 and the amazing Python 3.6.2 language Explore Android Studio 3 and the Java 8 language Discover applications of machine learning and where we use artificial intelligence and algorithms daily Learn what TensorFlow 1.4.1 is and how it makes machine learning development easier Build a linear regression model to fit a line through data Learn how to incorporate machine learning models into Android apps Build a simple digit recognition project using the MNIST handwritten digit database Learn how the TensorFlow estimator differs from other computational graphs A machine learning framework for everyone If you want to build sophisticated and intelligent mobile apps or simply want to know more about how machine learning works in a mobile environment, this course is for you. Be one of the first There are next to no courses on big platforms that focus on mobile machine learning in particular. All of them focus specifically on machine learning for a desktop or laptop environment. We provide clear, concise explanations at each step along the way so that viewers can not only replicate, but also understand and expand upon what I teach. Other courses don't do a great job of explaining exactly what is going on at each step in the process and why we choose to build models the way we do. No prior knowledge is required We will teach you all you need to know about the languages, software and technologies we use. If you have lots of experience building machine learning apps, you may find this course a little slow because it's designed for beginners. Jump into a field that has more demand than supply Machine learning changes everything. It's bringing us self-driving cars, facial recognition and artificial intelligence. And the best part is: anyone can create such innovations. Enroll now to start the next step of your career

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