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所在平台: Udemy |
课程主页: https://www.udemy.com/course/tensorflow-2-practical-advanced/
课程评论：没有评论
课程名称：TensorFlow 2.0 实践高级课程 课程概述：谷歌最近发布了TensorFlow 2.0，这是其最强大的开源平台，用于构建和部署人工智能模型。TensorFlow 2.0的发布为AI开发者和爱好者带来了重大利好，因为它使高级AI技术的开发变得更加简单和迅速。本课程旨在为学生提供使用TensorFlow 2.0和Google Colab构建、训练、测试和部署高级人工神经网络及深度学习模型的实践知识。 课程内容包括TensorFlow 2.0中一些先进、最前沿的AI模型实现，如DeepDream、自动编码器、生成对抗网络（GANs）、基于TensorFlow Hub的迁移学习、长短期记忆（LSTM）递归神经网络等。这些先进AI模型的应用几乎无穷无尽，包括生成新的人类照片、文本翻译、图像去噪、图像压缩、文本到图像的转换、图像分割和图像标注。 全球AI和机器学习技术产业预计到2022年将从14亿美元增长到88亿美元，并预测AI技术部门在2020年将创造约230万个就业岗位。科技以大规模的进展不断被应用于几乎所有行业。本课程提供学生在使用真实数据集训练高级人工神经网络方面的实践经验，使用TensorFlow 2.0和Google Colab。 课程项目包括但不限于：开发、训练和测试最先进的DeepDream算法以创作基于AI的艺术杰作；实施革命性的生成对抗网络（GANs）来生成全新图像；开发长短期记忆（LSTM）网络生成新的莎士比亚风格文本；使用TensorFlow 2.0 Serving在实践中部署AI模型；利用自动编码器进行图像压缩和去噪；应用迁移学习将知识从预训练网络转移到分类新图像。 本课程面向希望掌握如何在TensorFlow 2.0中构建、训练、测试和部署高级模型的学生。建议具备编程基础和人工神经网络的相关知识。报名参加本课程的学生将掌握高级AI和深度学习技术，并能直接将这些技能应用于解决现实世界的挑战性问题。
Google has recently released TensorFlow 2.0 which is Google's most powerful open source platform to build and deploy AI models in practice. Tensorflow 2.0 release is a huge win for AI developers and enthusiast since it enabled the development of super advanced AI techniques in a much easier and faster way.The purpose of this course is to provide students with practical knowledge of building, training, testing and deploying Advanced Artificial Neural Networks and Deep Learning models using TensorFlow 2.0 and Google Colab. This course will cover advanced, state-of-the-art AI models implementation in TensorFlow 2.0 such as DeepDream, AutoEncoders, Generative Adversarial Networks (GANs), Transfer Learning using TensorFlow Hub, Long Short Term Memory (LSTM) Recurrent Neural Networks and many more. The applications of these advanced AI models are endless including new realistic human photographs generation, text translation, image de-noising, image compression, text-to-image translation, image segmentation, and image captioning.The global AI and machine learning technology sectors are expected to grow from $1.4B to $8.8B by 2022 and it is predicted that AI tech sector will create around 2.3 million jobs by 2020. The technology is progressing at a massive scale and being adopted in almost every sector. The course provides students with practical hands-on experience in training Advanced Artificial Neural Networks using real-world dataset using TensorFlow 2.0 and Google Colab. This course covers several technique in a practical manner, the projects include but not limited to: Develop, train, and test State-of-the art DeepDream algorithm to create AI-based art masterpieces!Implement revolutionary Generative Adversarial Networks known as GANs to generate brand new images.Develop Long Short Term Memory (LSTM) networks to generate new Shakespeare-style text!Deploy AI models in practice using TensorFlow 2.0 Serving.Apply Auto-Encoders to perform image compression and de-noising.Apply transfer learning to transfer knowledge from pre-trained networks to classify new images using TensorFlow 2.0 Hub.The course is targeted towards students wanting to gain a fundamental understanding of how to build, train, test and deploy advanced models in Tensorflow 2.0. Basic knowledge of programming and Artificial Neural Networks is recommended. Students who enroll in this course will master Advanced AI and Deep Learning techniques and can directly apply these skills to solve real world challenging problems.
