課程信息
5,908 次近期查看

第 4 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17 小時

建議:9 hours/week...

英語(English)

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

第 4 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17 小時

建議:9 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 5 小時

Tensor and Datasets

6 個視頻 (總計 44 分鐘), 11 個測驗
6 個視頻
1.1 Tensors 1D13分鐘
1.2 Two-Dimensional Tensors9分鐘
Differentiation in PyTorch5分鐘
1.3 Simple dataset7分鐘
1.5 Dataset4分鐘
5 個練習
1.1 Tensors 1D10分鐘
1.2 Two-Dimensional Tensors5分鐘
1.3 Derivatives in PyTorch10分鐘
Simple Dataset10分鐘
Datasets10分鐘
2
完成時間為 3 小時

Linear Regression

2 個視頻 (總計 12 分鐘), 5 個測驗
2 個視頻
2.1 Linear Regression Training3分鐘
2 個練習
Prediction in One Dimension10分鐘
2.2 Linear Regression Training
3
完成時間為 6 小時

Linear Regression PyTorch Way

6 個測驗
完成時間為 4 小時

Multiple Input Output Linear Regression

4 個測驗
4
完成時間為 1 小時

Logistic Regression for Classification

7 個測驗
4 個練習
5.0 Linear Classifiers5分鐘
5.1 Logistic Regression: Prediction10分鐘
Bernoulli Distribution and Maximum Likelihood Estimation5分鐘
5.3 Logistic Regression Cross Entropy Loss10分鐘
完成時間為 2 小時

Softmax Rergresstion

4 個測驗
2 個練習
6.2 Softmax Function:Using Lines to Classify Data
6.3 Softmax PyTorch Quizz

講師

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Joseph Santarcangelo

Ph.D., Data Scientist at IBM
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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