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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-deep-learning-using-case-studies-beginner-advance/
课程评论：没有评论
**课程名称：** Master Deep Learning using Case Studies: Beginner-Advance **课程概述：** 本课程专为 aspiring 数据科学家设计，由来自印度理工学院 (IIT) 且精通数学和数据科学的专业人士讲授。课程将以非常简单易懂的方式，深入讲解复杂的深度学习理论、算法和编码库，即使是初学者也能轻松掌握。 课程将带领学习者一步步进入深度学习的世界，通过每个教程的学习，逐步提升技能，加深对这一具有挑战性且回报丰厚的数据科学子领域的理解，从入门到高级。课程中包含真实世界案例研究和完整的解决方案，以便学习者能够轻松实践所学知识。 **课程内容详情：** 1. **引言** 2. **人工神经网络 (Artificial Neural Network)** 3. **前馈神经网络 (Feed forward Network)** 4. **反向传播 (Backpropagation)** 5. **正则化 (Regularisation)** 6. **卷积神经网络 (Convolution Neural Network)** 7. **CNN 实践** 8. **真实世界项目 1** 9. **真实世界项目 2** 10. **迁移学习 (Transfer Learning)** 11. **循环神经网络 (Recurrent Neural Networks)** 12. **高级 RNN (Advanced RNN)** 13. **项目 (自然语言处理 - NLP)** 14. **自动编程代码生成** **先修要求：** Python 编程，机器学习基础。
Wants to become a good Data Scientist? Then this is a right course for you.This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well.We will walk you step-by-step into the World of Deep Learning. With every tutorial you will develop new skills and improve your understanding towards the challenging yet lucrative sub-field of Data Science from beginner to advance level. We have solved few real world projects as well during this course and have provided complete solutions so that students can easily implement what have been taught.We have covered following topics in detail in this course:1. Introduction2. Artificial Neural Network3. Feed forward Network4. Backpropogation5. Regularisation6. Convolution Neural Network7. Practical on CNN8. Real world project19. Real world project210 Transfer Learning11. Recurrent Neural Networks12. Advanced RNN13. Project(Help NLP)14. Generate Automatic Programming code15. Pre- req: Python, Machine Learning
