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IBM - Deep Learning with Python and PyTorch 

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Deep Learning with Python and PyTorch
 at 
edX 
Overview

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

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Credential

Certificate

Deep Learning with Python and PyTorch
 at 
edX 
Highlights

  • Tangible career benefit
  • Earn a certificate of learning on course completion
  • Add a Verified Certificate for ?7,568
  • This course is offered by IBM
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Details Icon

Deep Learning with Python and PyTorch
 at 
edX 
Course details

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

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

    Important Dates

    May 25, 2024
    Course Commencement Date

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