By the end of this course, learners will differentiate core AI concepts, construct deep neural networks, apply image and text models, develop attention-based NLP systems, and design recommender solutions.
Deep Learning: Build & Optimize Neural Networks
您将学到什么
Build and optimize deep neural networks using PyTorch.
Apply AI models to vision, NLP, and recommendation tasks.
Implement attention and transformer architectures effectively.
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
November 2025
作业
22 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有6个模块
This module introduces learners to the core principles of machine learning and deep learning, exploring their methods, applications, and the evolution from perceptrons to deep neural networks.
涵盖的内容
12个视频3个作业
This module provides hands-on exposure to essential coding platforms, tools, and frameworks like Jupyter, Google Colab, and PyTorch, while building foundational skills with tensors, gradients, and basic networks.
涵盖的内容
15个视频4个作业
This module explores image classification through practical case studies, guiding learners to preprocess, transform, and visualize datasets, then build, train, and test deep neural networks on benchmarks like MNIST and CIFAR-10.
涵盖的内容
18个视频4个作业
This module introduces natural language processing (NLP) tasks, including text classification with CNNs and text generation with transformers, focusing on preparing textual data, building models, and evaluating results.
涵盖的内容
15个视频4个作业
This module dives deeper into NLP using attention-based architectures, covering sequence-to-sequence models for text translation, encoder-decoder frameworks, and best practices for training and evaluation.
涵盖的内容
14个视频4个作业
This module extends deep learning applications to structured tabular data and recommender systems, demonstrating predictive modeling and approaches like collaborative and content-based filtering.
涵盖的内容
7个视频3个作业
从 Machine Learning 浏览更多内容
状态：免费试用
状态：免费试用
状态：免费试用
状态：免费试用
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金，