課程信息
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第 3 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為13 小時

建議:2 - 3 hours/week...

英語(English)

字幕:英語(English)

您將獲得的技能

Deep LearningArtificial Neural NetworkArtificial Intelligence (AI)Machine Learningkeras

第 3 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為13 小時

建議:2 - 3 hours/week...

英語(English)

字幕:英語(English)

學習Professional Certificate的學生是

  • Data Scientists
  • Professors
  • Managers
  • Engineers
  • Software Engineers

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

Introduction to Neural Networks and Deep Learning

4 個視頻 (總計 17 分鐘), 1 個閱讀材料, 2 個測驗
4 個視頻
Welcome2分鐘
Introduction to Deep Learning4分鐘
Neurons and Neural Networks3分鐘
Artificial Neural Networks5分鐘
1 個閱讀材料
Syllabus10分鐘
1 個練習
Introduction to Neural Networks and Deep Learning30分鐘
2
完成時間為 1 小時

Artificial Neural Networks

4 個視頻 (總計 22 分鐘), 1 個測驗
4 個視頻
Backpropagation9分鐘
Vanishing Gradient1分鐘
Activation Functions5分鐘
1 個練習
Artificial Neural Networks30分鐘
3
完成時間為 3 小時

Keras and Deep Learning Libraries

3 個視頻 (總計 16 分鐘), 3 個測驗
3 個視頻
Regression Models with Keras6分鐘
Classification Models with Keras5分鐘
1 個練習
Keras and Deep Learning Libraries30分鐘
4
完成時間為 2 小時

Deep Learning Models

4 個視頻 (總計 17 分鐘), 2 個測驗
4 個視頻
Convolutional Neural Networks8分鐘
Recurrent Neural Networks2分鐘
Autoencoders2分鐘
1 個練習
Deep Learning Models30分鐘
4.9
2 個審閱Chevron Right

來自Introduction to Deep Learning & Neural Networks with Keras的熱門評論

創建者 LDSep 8th 2019

The teaching is not deep enough to solve the Week 5 assignment, please take note you need to plumb in other Keras courses.

創建者 SSSep 19th 2019

It is a good Introduction course on Deep Learning using Keras.

講師

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Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

關於 IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

關於 IBM AI Engineering 專業證書

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer....
IBM AI Engineering

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