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Free PyTorch Courses

Developed primarily by Meta AI, PyTorch is a free, open-source machine learning framework based on the Torch library. It is used for tasks like computer vision and natural language processing. Great Learning offers various courses on PyTorch to hasten tasks in Machine Learning and Artificial Intelligence. Basics of Machine Learning, Deep Learning with Python, and Artificial Intelligence with Python courses familiarize you with essential concepts you must know to work with PyTorch for various technologies for various tasks. Packages in Python introduces you to various libraries and packages Python programming language offers, along with the demonstrations of using PyTorch. These free courses are designed to accelerate the transition from research prototyping to implementation. Enroll in these free PyTorch courses and earn certificates on successful completion.
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PyTorch is a Python machine learning package that is based on Torch. It is considered as a framework of Deep Learning. It is used in image processing, natural language processing, and other deep learning concepts. It is built alongside Uber’s “Pyro” software to support the idea of in-built probabilistic programming.

PyTorch is a machine learning library and is open-sourced. It was developed as the Python wrapper based on the Torch framework. It is a redesigned framework that implements Torch in Python while running the same core C libraries for the backend code. You can find two PyTorch Variants.  

This backend code helps the developers run Python efficiently. They also built it to support the GPU hardware acceleration and the extensible features that helped develop Lua-based Torch.

The significant features of PyTorch include:

 

  • Easy and understandable Interface

PyTorch provides easy to use API. It is easy to run on Python as it is straightforward to operate and run. This framework allows for more effortless code execution.

 

  • Python Supportive

PyTorch framework easily integrates with the Python data science pack. Hence, it is widely utilized for the better usage of the Python environment functionalities and services.

 

  • Supports Dynamic Computational Graphs

PyTorch is an excellent platform for Dynamic Computational Graphs. This allows you to change them during the runtime as per the requirements as a user. It is highly advantageous for developers who sometimes have no idea about the memory requirements while creating a neural network model.

PyTorch is known for its three levels of abstraction:

  • Tensor

It runs on GPU and is an imperative n-dimensional array.

  • Variable

 It helps store the data and gradient. It is a Node in a computational graph.

  • Module

It is a Neural network layer that allows you to store state or learnable weights.

PyTorch is easy to understand and debug the code. It involves lots of loss functions and has many layers like Torch. It is also considered as the Numpy extension to GPUs. It supports the building of networks that are dependent only on the computation.

PyTorch is closely related to the framework called Lua-based Torch that Facebook actively utilizes. It is a comparatively new technology and supports imperative and dynamic methods. It supports computational graphs and can be defined during the runtime. PyTorch supports deployment features for mobile and embedded frameworks.

 

PyTorch is highly known for its features like:

  • It makes use of GPU for tensor computing with solid acceleration.
  • It provides the Deep Neural Network that is built on a tape-based auto diff system.

 

It is a Python library. It provides high flexibility and speed during the building and implementation of deep neural networks. Thus, it is easy to understand, install, and run. PyTorch is integrated with Python and is highly Pythonic because it allows you to build neural network models faster.

PyTorch is used explicitly by data scientists who wish to build various Data Science models. It is used for its flexible library that can be modified as per your requirements and changes. PyTorch provides you with a simple interface, hybrid frontend, distributed training, C++ frontend, Python-First, Native ONNX support, extensive tools and libraries, and cloud partners.  

PyTorch supports a new hybrid frontend that is flexible and easy to use in eager mode. It also involves a C++ environment for transition to graph mode for better functionality, speed, and optimization. 

PyTorch is preferred by data scientists as it allows them to train their neural network models in a distributed manner. It is known for its optimized performance in both production and research with the help of asynchronous execution of the collective operation from C++ and Python and peer-to-peer communication.

Learn more concepts of PyTorch with the help of Great Learning Academy’s free PyTorch courses. Enroll in these PyTorch courses and get hold of the free PyTorch certificates.

 

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Frequently Asked Questions

What is PyTorch used for?

PyTorch is mainly used for Deep Learning applications with the involvement of CPUs and GPUs. It is an optimized tensor library that is used for displaying relevant metrics. It is also used for image processing and natural language processing. Many scientists also use it for training their neural network models.

Who uses PyTorch?

Researchers and Python language enthusiasts prefer using PyTorch. Many developers who are working on Deep Learning concepts use PyTorch. Some of the companies that use PyTorch are NVIDIA, Lockheed Martin, TuSimple, Johnson & Johnson, Verizon Wireless, and more.

Why is PyTorch so popular?

PyTorch is well known for its ease of use, simplicity, flexibility, efficient memory usage, and dynamic computational graphs. Its popularity increased as it is utilized for natural language processing and image processing. PyTorch is an open-source tool on GitHub. One of the good reasons is that Facebook’s AI research group developed it. Hence, it is utilized by many.

Where can I learn PyTorch?

Many learning platforms offer PyTorch courses. You can find them on the web. Great learning Academy is a learning platform that offers Free PyTorch courses along with free PyTorch certificates.

Is PyTorch hard to learn?

PyTorch is known for its reputation for simplicity and ease of use. It is easier to learn and use. It is preferred by many for developing projects related to Deep Learning and is popular for building rapid prototypes.

Is there any PyTorch certificate?

You can find many learning platforms on the web that offer PyTorch certificates. Great Learning Academy learning platform provides free PyTorch courses along with free PyTorch certificates.

What is the difference between PyTorch and Python?

PyTorch is an open-sourced machine learning library built using Python and Torch. It wraps a C backend in a Python interface. It is a library that helps Python programmers to build models with ease. Python is a high-level language consisting of vast library support, whereas PyTorch is a library created for Python mainly used in Deep Learning projects.

Will I get a certificate after completing these free Pytorch courses?

Yes, you will get a certificate of completion for Pytorch courses after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much do these Pytorch courses cost?

It is the entirely free courses list from Great Learning Academy. Anyone interested in learning the basics of Pytorch can get started with these courses.

Is there any limit on how many times I can take these free courses?

Once you enroll in the Pytorch courses, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for these Pytorch courses?

Great Learning Academy provides these Pytorch courses for free online. The courses are self-paced and help you understand various topics that fall under the subject with solved problems and demonstrated examples. The courses are carefully designed, keeping in mind to cater to both beginners and professionals, and are delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in these Pytorch courses?

Enrolling in any of the Great Learning Academy’s courses is just a one step process. Sign-up for the courses, you are interested in learning through your E-mail ID and start learning them for free online.