課程信息
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第 5 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9 小時

建議:4-5 hours/week...

英語(English)

字幕:英語(English)
User
學習Professional Certificate的學生是
  • Machine Learning Engineers
  • Data Scientists
  • Researchers
  • Professors
  • Software Engineers
User
學習Professional Certificate的學生是
  • Machine Learning Engineers
  • Data Scientists
  • Researchers
  • Professors
  • Software Engineers

第 5 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9 小時

建議:4-5 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 4 小時

Introduction

4 個視頻 (總計 24 分鐘), 1 個閱讀材料, 4 個測驗
4 個視頻
Welcome2分鐘
Introduction to TensorFlow7分鐘
Introduction to Deep Learning2分鐘
Deep Neural Networks11分鐘
1 個閱讀材料
Syllabus10分鐘
1 個練習
Deep Neural Networks and TensorFlow30分鐘
2
完成時間為 3 小時

Supervised Learning Models

3 個視頻 (總計 22 分鐘), 3 個測驗
3 個視頻
Convolutional Neural Networks (CNNs) for Classification4分鐘
Convolutional Neural Networks (CNNs) Architecture13分鐘
1 個練習
Convolutional Neural Networks30分鐘
3
完成時間為 3 小時

Supervised Learning Models (Cont'd)

4 個視頻 (總計 22 分鐘), 3 個測驗
4 個視頻
Recurrent Neural Networks (RNNs)5分鐘
The Long Short Term Memory (LSTM) Model5分鐘
Language Modelling7分鐘
1 個練習
Recurrent Neural Networks30分鐘
4
完成時間為 3 小時

Unsupervised Deep Learning Models

2 個視頻 (總計 10 分鐘), 3 個測驗
2 個視頻
Restricted Boltzmann Machines (RBMs)5分鐘
1 個練習
Restricted Boltzmann Machines30分鐘
4.7
1 個審閱Chevron Right

來自Building Deep Learning Models with TensorFlow的熱門評論

創建者 LDNov 6th 2019

course needed to be updated for labs. Now Google moved to Tensorflow 2.0 this year.

講師

Avatar

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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