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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-to-build-caltech-101-image-classifier-mobile-app/
课程评论：没有评论
课程名称：学习构建 Caltech-101 图像分类器移动应用 课程概述： 本课程教授学员如何利用苹果的 Create ML 和 Core ML SDK 构建 Caltech-101 图像分类器 iPhone 应用。深度学习是一种流行的技术，可以训练机器检测图像中的物体。一旦训练完成，模型可以用于检测任何图像中的物体。该应用不需要 WiFi 或移动数据连接，利用深度学习从零开始在你自己的图像数据集上训练模型。训练后的模型可在移动应用中使用苹果的 Core ML SDK。本课程将指导你一步步构建这个应用，因其不将图像或视频发送至远程服务，所以能够保护用户的隐私和数据安全。 课程内容包括： - 理解 Create ML 和 Core ML 的基本原理 - 理解深度学习和卷积神经网络（CNN）的基础知识 - 使用 Create ML SDK 和 XCode 在自己的数据集上训练模型 - 使用 Core ML 和 Swift 构建真实的物体检测移动应用 通过学习物体检测，你将掌握这一强大的技能，成为高需求的计算机视觉开发者。本课程适合初学者和视觉学习者，采用视觉培训方法，帮助学员加快学习进度，课程内容把复杂的应用步骤简化，并通过挑战巩固概念。 从课程中你将获得： - 从专业培训师处学习物体检测 - 提供超过10节讲座，教授如何构建物体检测引擎 - 适合初学编程的用户，提升学习效果 - 简单明了的步骤分解和挑战解决方案为学习提供支持 加入本课程，开始你的物体检测学习之旅吧！
Course DescriptionLearn to build Caltech-101 image classifier iPhone app using Apple's crate ML and core ML SDK. Deep learning is popular where a machine can be trained to detect objects in images. Once trained, it can be used to detect objects in any image. The app does not require any wifi or cellular connectivity. It uses deep learning to train the model from scratch on your own image dataset. The model can then be used inside an mobile app using Apple's coreML SDK. We'll build this app in this course. Since the app does not send your images or vides to remote service, it maintains your privacy and data secured. Build a strong foundation in pose detection engines with this tutorial for beginners.Understanding fundamentals of CreateML and CoreMLUnderstanding fundamentals of deep learning and CNN Train a model on your own dataset using create ML SDK and XCodeBuild a real life object detection mobile application using coreml and swiftA Powerful Skill at Your Fingertips Learning the fundamentals of object detection puts a powerful and very useful tool at your fingertips. swift, create ml and coreml are free, easy to learn, has excellent documentation.No prior knowledge of CNN or deep learning is assumed. I'll be covering topics like CNN from scratch. Jobs in computer vision area are plentiful, and being able to learn object detection will give you a strong edge. Learning object detection will help you become a computer vision developer which is in high demand.Content and Overview This course teaches you on how to build object detection engine using open source create ml, coreml and swift. You will work along with me step by step to build following answersTrain Object Detection model Build Mobile object detection app using trained modelWhat am I going to get from this course?Learn object detection from professional trainer from your own desk.Over 10 lectures teaching you how to build object detection engineSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
