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所在平台: Udemy |
课程主页: https://www.udemy.com/course/tensorflow-101-introduction-to-deep-learning/
课程评论：没有评论
**课程名称：TensorFlow 101：深度学习入门** **课程概述：** 本课程由Google AI团队开发的TensorFlow库，旨在帮助学员掌握构建深度神经网络模型的能力，并将其应用于不同业务领域。课程内容涵盖深度学习的基本概念及其多种应用。特别地，本课程将重点介绍Keras框架。此外，还将深入探讨一些高级主题，包括迁移学习、自编码器以及人脸识别技术（涵盖VGG-Face、Google FaceNet、OpenFace和Facebook DeepFace等模型）。 **目标学员：** 对机器学习、数据科学和人工智能感兴趣的学习者。 **先修要求：** 无需任何机器学习课程的学习经历。
This course provides you to be able to build Deep Neural Networks models for different business domains with one of the most common machine learning library TensorFlow provided by Google AI team. The both concept of deep learning and its applications will be mentioned in this course. Also, we will focus on Keras. We will also focus on the advanced topics in this lecture such as transfer learning, autoencoders, face recognition (including those models: VGG-Face, Google FaceNet, OpenFace and Facebook DeepFace).This course appeals to ones who interested in Machine Learning, Data Science and AI. Also, you don't have to be attend any ML course before.
