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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-learning-with-python-and-keras/
课程评论：没有评论
**课程名称：** 使用Python和Keras进行深度学习 **课程概述：** 本课程为深度学习提供全面入门介绍，适合熟悉Python的初学者及中级程序员、数据科学家。课程从深度学习应用回顾及机器学习工具和技术复习开始，接着介绍人工神经网络，并讲解如何训练它们以解决回归和分类问题。后续内容将深入介绍全连接、卷积和循环神经网络等多种架构，详细阐述理论并提供丰富的应用示例。 本课程理论与实践并重，既会深入讲解数学细节，也提供练习和示例代码帮助学习者巩固所学。目标是为学生打下坚实基础，掌握理论和编程技能。完成课程后，学员将能识别可应用深度学习的问题，设计和训练各类神经网络模型，并能利用云计算加速训练和提升模型性能。
This course is designed to provide a complete introduction to Deep Learning. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems. We start with a review of Deep Learning applications and a recap of Machine Learning tools and techniques. Then we introduce Artificial Neural Networks and explain how they are trained to solve Regression and Classification problems. Over the rest of the course we introduce and explain several architectures including Fully Connected, Convolutional and Recurrent Neural Networks, and for each of these we explain both the theory and give plenty of example applications. This course is a good balance between theory and practice. We don't shy away from explaining mathematical details and at the same time we provide exercises and sample code to apply what you've just learned. The goal is to provide students with a strong foundation, not just theory, not just scripting, but both. At the end of the course you'll be able to recognize which problems can be solved with Deep Learning, you'll be able to design and train a variety of Neural Network models and you'll be able to use cloud computing to speed up training and improve your model's performance.
