开始时间: 06/21/2022 持续时间: Approximately 5 months to complete Suggested pace of 9 hours/week
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所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/deep-learning
课程评论：没有评论
If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.
深度学习专业化：如果您想进入AI，这个专业化将为您提供帮助。深度学习是最受追捧的技术技能之一。我们将帮助您精通深度学习。 在五门课程中，您将学习深度学习的基础，了解如何构建神经网络，并学习如何领导成功的机器学习项目。您将了解卷积网络，RNN，LSTM，Adam，Dropout，BatchNorm，Xavier / He初始化等。您将从事医疗保健，自动驾驶，手语阅读，音乐生成和自然语言处理等案例研究。您不仅将掌握该理论，还将了解其在工业中的应用。您将在我们将教授的Python和TensorFlow中实践所有这些想法。 您还将听到深度学习的许多高层领导的声音，他们将与您分享他们的个人故事并为您提供职业建议。 人工智能正在改变多个行业。完成此专业后，您可能会发现将其应用于您的作品的创造性方法。 我们将帮助您掌握深度学习，了解如何应用它，并在AI领域发展事业。Course: 1
Course Link: https://www.coursera.org/learn/neural-networks-deep-learning?specialization=deep-learning
Title:Neural Networks and Deep Learning
Description:In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.
Course: 2
Course Link: https://www.coursera.org/learn/deep-neural-network?specialization=deep-learning
Title:Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Description:In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically.
Course: 3
Course Link: https://www.coursera.org/learn/machine-learning-projects?specialization=deep-learning
Title:Structuring Machine Learning Projects
Description:In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.
Course: 4
Course Link: https://www.coursera.org/learn/convolutional-neural-networks?specialization=deep-learning
Title:Convolutional Neural Networks
Description:In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more.
Andrew Ng老师的深度学习专项系列课程(Deep Learning Specialization) ，入门深度学习首选课程。这个系列包含5门子课程，涵盖神经网络与深度学习，调参优化，机器学习项目架构，卷积神经网络和递归神经网络，感兴趣的同学可以关注：Deep Learning Specialization-Master Deep Learning, and Break into AI
