The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered.
Offered By
IBM Skills NetworkAbout this Course
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Intermediate Level
Approx. 31 hours to complete
English
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 31 hours to complete
English
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Syllabus - What you will learn from this course
5 hours to complete
Tensor and Datasets
5 hours to complete
6 videos (Total 44 min)
2 hours to complete
Linear Regression
2 hours to complete
7 videos (Total 35 min)
3 hours to complete
Linear Regression PyTorch Way
3 hours to complete
5 videos (Total 21 min)
2 hours to complete
Multiple Input Output Linear Regression
2 hours to complete
4 videos (Total 18 min)
2 hours to complete
Logistic Regression for Classification
2 hours to complete
4 videos (Total 31 min)
2 hours to complete
Softmax Rergresstion
2 hours to complete
3 videos (Total 18 min)
3 hours to complete
Shallow Neural Networks
3 hours to complete
6 videos (Total 33 min)
Reviews
- 5 stars64.26%
- 4 stars23.02%
- 3 stars5.73%
- 2 stars3.95%
- 1 star3.02%
TOP REVIEWS FROM DEEP NEURAL NETWORKS WITH PYTORCH
by KCNov 6, 2020
In-depth course, goes in much more detail than the usual introductory courses, also emphasizes on practical hands on rather than theoretical knowledge
by ANMar 6, 2020
It was a very informative and interesting lecture. I learn a lot about the details when using PyTorch to build and train a deep neural network. I am so thankful.
by DDJul 12, 2020
Excellent Course. I love the way the course was presented. There were a lot of practical and visual examples explaining each module. It is highly recommended!
by TGJan 10, 2020
Very intensive course. Could do more training labs. But this is definitely a very dense course. Extremely helpful to get started on ML/Deep Learning.
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