By the end of this course, learners will be able to explain the fundamentals of neural networks, apply TensorFlow to build and train models, implement convolutional neural networks for image processing, and adapt transfer learning strategies for real-world applications.


您将学到什么
Build and train neural networks in TensorFlow with parameter initialization.
Implement CNNs for image processing and real-world dataset classification.
Apply transfer learning to adapt pre-trained models for specialized tasks.
您将获得的技能
要了解的详细信息

添加到您的领英档案
October 2025
6 项作业
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有2个模块
his module introduces learners to the fundamentals of deep learning by combining theoretical foundations with practical implementations in TensorFlow. It covers perceptrons, neural network construction, model initialization, and convolutional neural networks, enabling learners to understand and build the backbone of modern AI applications.
涵盖的内容
8个视频3个作业
This module explores advanced applications of deep learning, from classifying real-world images to applying transfer learning for efficient and scalable model development. Learners will practice handling image datasets, implementing data generators, and leveraging pre-trained models to optimize performance on specialized tasks.
涵盖的内容
7个视频3个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
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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 enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. 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.
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