中The course "Introduction to Neural Networks" provides a comprehensive introduction to the foundational concepts of neural networks, equipping learners with essential skills in deep learning and machine learning. Dive into the mathematics that drive neural network algorithms and explore the optimization techniques that enhance their performance. Gain hands-on experience training machine learning models using gradient descent and evaluate their effectiveness in practical scenarios.
Introduction to Neural Networks
您将学到什么
Understand the foundational mathematics and key concepts driving neural networks and machine learning.
Analyze and apply machine learning algorithms, optimization methods, and loss functions to train and evaluate models effectively.
Explore the design and structure of feedforward neural networks, using gradient descent to optimize and train deep models.
Investigate convolutional neural networks, their elements, and how they apply to real-world problems like image processing and computer vision.
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作业
10 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 Foundations of Neural Networks 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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该课程共有6个模块
This course provides a comprehensive overview of the foundational mathematics and concepts behind Deep Learning and Machine Learning. Students will analyze various Machine Learning Algorithms, focusing on Optimization Techniques and Regularization Methods, while evaluating their effectiveness. Practical applications will include training algorithms using Gradient Descent and assessing their performance. The course also covers the structure and data elements of Convolutional Neural Networks (CNNs), emphasizing their design for specific tasks. Lastly, students will explore current research and propose future directions in Regularization and CNNs, contributing to advancements in Deep Learning methodologies.
涵盖的内容
2篇阅读材料
This module will lay the foundations that are needed to be successful in the field of Deep Learning. It will also introduce motivation for the field as well as discuss the history of the field.
涵盖的内容
3个视频1篇阅读材料2个作业1个非评分实验室
This module will discuss the fundamentals of Machine Learning. You will explore different aspects of Machine Learning Algorithms and what is needed to create an algorithm.
涵盖的内容
1个视频1篇阅读材料2个作业1个非评分实验室
This module will discuss the building blocks of Deep Feedforward Neural Networks. Students will explore different parts of Deep Feedforward NN and what is needed to create and train the algorithms.
涵盖的内容
1个视频1篇阅读材料2个作业1个非评分实验室
This module will discuss the regularization in Deep Feedforward Neural Networks. Learners will explore the reasons for regularization along with different techniques.
涵盖的内容
1个视频1篇阅读材料2个作业1个非评分实验室
This module will discuss Convolutional Neural Networks. Students will explore the reasons for regularization along with different techniques.
涵盖的内容
1个视频1篇阅读材料2个作业1个非评分实验室
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