Deep Learning with PyTorch - Zero to GANs faq

star-rating
4.5
learnersLearners: 5
instructor Instructor: Aakash N S instructor-icon
duration Duration: 2.00 duration-icon

This course provides an introduction to deep learning using PyTorch, from the basics to advanced models such as Generative Adverserial Networks and Image Captioning. Participants will gain a comprehensive understanding of the PyTorch framework.

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Udemy

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge to build deep learning models with PyTorch. Learners will gain an understanding of the basics of PyTorch, such as Tensors and Gradients, as well as more advanced topics such as Linear Regression, Gradient Descent, Logistic Regression, Feedforward Neural Networks, and Training on GPUs. Additionally, learners will be able to explore more advanced topics such as Convolutional Neural Networks, Recurrent Neural Networks, Transfer Learning, and Generative Adversarial Networks.

How does this course contribute to professional growth?
This course provides a comprehensive introduction to deep learning using PyTorch, from the basics to advanced topics such as Generative Adverserial Networks and Image Captioning. It covers topics such as Tensors & Gradients, Linear Regression & Gradient Descent, Classification using Logistic Regression, and Feedforward Neural Networks & Training on GPUs. By taking this course, professionals can gain a better understanding of deep learning and its applications, as well as the skills to build and train deep learning models with PyTorch.

Is this course suitable for preparing further education?
This course is suitable for preparing further education in deep learning with PyTorch. It covers the basics of PyTorch, such as Tensors & Gradients, Linear Regression & Gradient Descent, and Classification using Logistic Regression, as well as more advanced topics such as Feedforward Neural Networks & Training on GPUs. Additionally, the course is updated on a weekly basis with new material, including CNNs, RNNs, transfer learning, and GANs.

Pros & Cons

Pros Cons
  • pros

    Boosted enthusiasm for deep learning

  • pros

    Comprehensive explanation of PyTorch

  • pros

    Easy to follow and concise

  • pros

    Good for beginners

  • cons

    Misleading title

  • cons

    Not detailed enough in practical examples

  • cons

    Requires prior knowledge of Python

Course Provider

Provider Udemy's Stats at AZClass

Rating Grade: A This is an established provider widely recognized and trusted by users, and is perfect for all level learners.

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faq FAQ for Pytorch Courses

Q1: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q2: Can I take this course for free?

Yes, this is a free course offered by Udemy, please click the "go to class" button to access more details.

Q3: How many people have enrolled in this course?

So far, a total of 5 people have participated in this course. The duration of this course is 2.00 hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
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If you're looking for additional Pytorch courses and certifications, our extensive collection at azclass.net will help you.

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