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所在平台: Udemy |
课程主页: https://www.udemy.com/course/flutter-deeplearning-course/
课程评论：没有评论
课程名称：《深度学习课程：使用Flutter和Python构建6个AI应用》 课程概述： 加入最全面的Flutter与深度学习课程，学习如何构建出色的最先进的深度学习应用！如果您想了解最先进的深度学习算法及其在iOS/Android应用中的应用，那么本课程正是为您量身定制的！您将学习如何应用各种最先进的深度学习算法，如GAN（生成对抗网络）、CNN（卷积神经网络）和自然语言处理（NLP）。在本课程中，我们将构建6个深度学习应用，展示构建可扩展的最先进深度学习Flutter应用程序所需的工具和技能。完成此课程后，您将能够： - 学习开发任何AI创意在移动设备上的工具和技能。 - 清晰了解不同类型的神经网络及其优势。 - 在Python中构建任何神经网络，并将其导出到Flutter应用中。 - 使用不同策略实现90%以上准确度的神经网络。 为什么选择本课程？ 本课程涵盖创建使用最先进深度学习方法的Flutter应用程序所需的所有步骤。优秀的教程很难找到，而讲师Samuel Boylan-Sajous具有多年编程经验，并拥有圭尔夫大学的计算机科学学位，他决定分享他的知识和经验给那些热爱深度学习和构建实用AI应用的学生。 课程内容包括： - 在Teachable Machine上构建神经网络并导出到Flutter项目。 - 在Google Collab/Jupyter Notebook中使用Keras/Python构建神经网络并导出到Flutter项目。 - 使用API执行自然语言处理，并将这些算法实现到我们的应用中。 - 在Python中构建GAN并在Flutter应用中实现。 - 还有更多内容！ 本课程适合以下人群： - 有兴趣为iOS和Android这两大最流行的移动平台构建原生应用。 - 对深度学习、人工智能或移动开发充满热情，想要扩展知识。 - 希望通过6个前沿深度学习应用来丰富自己的AI作品集。 - 想要学习如何在移动设备上使用最先进的深度学习算法。 课程前提： - 知道移动开发将会有所帮助，但不是硬性要求（如果您仅了解CSS/HTML和面向对象编程，您仍然可以研究Flutter）。 - 理解神经网络背后的理论（了解数据在神经网络中的处理）。 我们的承诺： 教授我们的学生是我的工作，我对此深感责任。如果您对课程内容或任何相关主题有任何疑问，随时可以在课程中提问或者直接给我发送消息。
Join the most comprehensive Flutter & Deep Learning course on Udemy and learn how to build amazing state-of-the-art Deep Learning applications!Do you want to learn about State-of-the-art Deep Learning algorithms and how to apply them to IOS/Android apps? Then this course is exactly for you! You will learn how to apply various State-of-the-art Deep Learning algorithms such as GAN's, CNN's, & Natural Language Processing. In this course, we will build 6 Deep Learning apps that will demonstrate the tools and skills used in order to build scalable, State-of-the-Art Deep Learning Flutter applications! After completing this course you will be able to:Learn the tools and skills to develop any AI idea you have onto a mobile phone.Have a clear understanding of different types of Neural Networks and how you can use them to your advantage.Build any Neural Networks in Python and then export them into your Flutter application.Use different strategies to get neural networks with 90%+ accuracy.Why should you choose this course?This course covers all the steps that one should take to create a Flutter application that uses State-of-the-Art Deep Learning approaches.It is extremely hard to find good tutorials that teach you how to implement these algorithms, so the instructor, Samuel Boylan-Sajous, who has been programming for years, and has a Computer Science degree at the University of Guelph, has decided to share all of his knowledge with other students that are passionate about Deep Learning and building practical A.I. applications.Here's what's included in the course:Building a neural network on Teachable Machine and exporting it into Flutter projectBuilding a neural network in Keras/Python on Google Collab/Jupyter Notebook and exporting it into Flutter projectUsing API's to perform some Natural Language Processing and implementing those algorithms into our app.Build a GAN in python and implement it into your flutter application.And much more!This course is for you if...You're interested in building real native mobile apps for the two most popular mobile platforms - iOS and AndroidYou're passionate about Deep Learning/AI or Mobile Development and want to expand your knowledge.You want to expand your Deep Learning/AI portfolio with 6 Cutting Edge Deep Learning apps!Want to learn State-of-the-Art Deep Learning algorithms and how you can use them on a mobile device!Course prerequisites:Knowing mobile development will help a lot but is not a hard requirement (You would be fine if you only knew CSS/HTML & Object-Oriented Programming, just do some research on what Flutter is)Know some theory behind Neural Networks (Know how data is processed in a Neural Network)Our PromiseTeaching our students is my job and I am committed to it. If you have any questions about the course content or anything related to any topic, you can always post a question in the course or send me a direct message.
