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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-next-level-apps-w-tensorflow-python-sketch/
课程评论：没有评论
课程名称：使用 TensorFlow、Python 和 Sketch 开发下一代应用程序 课程概述：本课程旨在教您如何为机器学习应用程序进行编码和设计。学习机器学习的应用及其日常用法，使用 Sketch 设计应用程序、图标、着陆页面和动画等多种内容。 课程特点： - 资助于#1 Kickstarter项目 - 完成对象定位、图像/文本分类和文本摘要的创建 - 将在 PyCharm 中构建的模型导入 Android Studio - 使用 MNIST 手写数字数据库构建简单的数字识别项目 - 提供15个补充资源，支持线下观看，终身访问 - 包含21.5小时的按需视频和18篇文章 主要内容： - 理解 TensorFlow 计算图与其他计算图的区别 - 深入学习 TensorBoard 示例 - 学习 Python 和 Java 基础知识 - 为初学者提供的界面材料 用户界面设计： - 学习使用 Anima 和 Principle 动画和线框设计移动应用 - 构建各种页面（如登录页面、主页、设置页面和用户列表页面） - 设计应用图标和其他项目图形 着陆页面与图形： - 创建应用的网页着陆页面 - 制作矢量图形和动态用户界面元素 - 学习 Android、Python 和 Java 的基础知识 - 掌握机器学习的基本概念和常用算法 机器学习模型： - 了解不同的机器学习机制 - 构建完整的计算模型，进行训练和测试 - 通过数据构建线性回归模型并预测值 综合项目： - 制作完整的应用程序页面，包括着陆页、登录页等 - 学习如何推广应用程序，制作吸引眼球的着陆页 立即注册，享受终身访问权限。
Learn to Code and Design for Machine Learning AppsDiscover applications of machine learning and where we use machine learning daily. Design apps, icons, landing pages, and animations with Sketch. And much more.Funded by a #1 Kickstarter ProjectCreate your own object-localization, image/text classificiation and text summarizer. Import a model built in PyCharm into Android Studio with a multi-step process. Build a simple digit recognition project using the MNIST handwritten digit database.15 Supplemental ResourcesWatch Offline via the Udemy App21.5 hours on-demand video18 ArticlesFull lifetime accessBuild Apps with PreBuilt ModelsLearn how the TensorFlow estimator differs from other computational graphs. Dive through TensorBoard examples. Learn Python language fundamentals. Learn Java language fundamentals. Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the following related courses:Hands-On Machine Learning: Learn TensorFlow, Python, & Java!Complete Sketch UI For Beginners: App Design From Scratch!The Machine Learning and App Building MasterclassBuild a User Interface From ScratchYou'll learn to animate with Anima and Principle, and wireframe mobile apps! By the end of this course, you will be able to build any mobile page you want from practice at log-in pages, main pages, settings pages, and user list pages. You'll also learn to create icons for apps or other projects.Landing Pages and GraphicsPromote your app with a web landing pageMake vector graphics from your drawings or sketchesWork faster than ever before with a clean interface and cutting edge techniquesMake your own librariesCreate dynamic user interface elementsLearn Android, Python and JavaYou will learn the basics of languages, programs, and underlying concepts of machine learning. Watch over-the-shoulder style and follow along to build your own machine learning-driven mobile apps.Learn to Prototype AppsInstall Sketch and start projectsUse pencils, shapes, artboard, text, color and symbolsFind any copyright free image and font you needCreate eye enticing color palettesMachine Learning ModelsExplore different machine learning mechanisms and commonly used algorithms. Learn how TensorFlow makes machine learning development easier.Build a complete computational model. Train and test a model and use it for future predictions. Build a linear regression model to fit a line through data and predict values.Build apps, learn PyCharm, Android Studio, Machine Learning, TensorFlow models, TensorBoard, and so much more in this epic artificial intelligence course.Build a Massive ProjectYou will make numerous pages for an application, including the landing page, log-in page, main page, settings page, and user list page. You will build an app icon. We even cover exporting and prototyping.Promoting your app is a crucial part if you want to make money as an app developer. We'll show you how to build a beautiful landing page to display your app.Enroll Now for Lifetime Access
