IBM - Deep Learning with Python and PyTorch
- Offered byedX
Deep Learning with Python and PyTorch at edX Overview
Deep Learning with Python and PyTorch
at edX
Upskilling is a better roadmap to success. Enroll in this course to learn critical principles of Data Science through real-life case studies & examples
Duration | 8 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Deep Learning with Python and PyTorch at edX Highlights
Deep Learning with Python and PyTorch
at edX
- Tangible career benefit
- Earn a certificate of learning on course completion
- Add a Verified Certificate for ?7,568
- This course is offered by IBM
Read more
Deep Learning with Python and PyTorch at edX Course details
Deep Learning with Python and PyTorch
at edX
Skills you will learn
What are the course deliverables?
- Explain and apply their knowledge of Deep Neural Networks and related machine learning methods
- Know how to use Python libraries such as PyTorch for Deep Learning applications
- Build Deep Neural Networks using PyTorch
More about this course
- The course will teach you how to develop Deep Learning models using Pytorch while providing the necessary deep-learning background
- We'll start off with PyTorch's tensors and its Automatic Differentiation package. Then we'll cover different Deep Learning models in each section, beginning with fundamentals such as Linear Regression and logistic/softmax regression
- We'll then move on to Feedforwarddeep neural networks, the role of different activation functions, normalization and dropout layers.
- In the final part of the course, we'll focus on Convolutional Neural Networks and Transfer Learning (pre-trained models). Several other Deep Learning methods will also be covered.
Deep Learning with Python and PyTorch at edX Curriculum
Deep Learning with Python and PyTorch
at edX
Tensor and Datasets
Linear Regression
Linear Regression PyTorch Way
Multiple Input Output Linear Regression
Logistic Regression for Classification
Softmax Rergresstion
Shallow Neural Networks
Deep Networks
Convolutional Neural Network
Peer Review
Deep Learning with Python and PyTorch at edX Admission Process
Deep Learning with Python and PyTorch
at edX
Important Dates
May 25, 2024
Course Commencement Date
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Deep Learning with Python and PyTorch
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