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Deep learning using PyTorch

by

Guvi

This course on Deep learning using PyTorch teaches Deep learning using PyTorch fundamentals through 3 interactive modules. If you are Beginner, then this course is for you. You can access this course on web and mobile, it’s available in English language.

₹ 1799.00

₹ 2000.00

10.05% Discount

#1

See all ranking

Home » Courses » Deep learning using PyTorch

Deep learning using PyTorch

by

Guvi

₹ 1799.00

₹ 2000.00

10.05% Discount

#1

See all ranking

3 Modules

with Certifications

8+ Hours

of Recorded Content

4.5 Rated

by 15454 Learners

English

Language

3 Modules

with Certifications

8 + Hours

of Recorded Content

4.5 Rated

by 15454Learners

Read all Reviews

English

Language

About

Key Features

Content

FAQs

What's in it for You?

Key Features:

Internationally Acknowledged Certification

Completely online and learn at your own pace course

Lifelong access to complete course

Four gamified practice platforms

Committed forum support to answer all of your questions

Refund policy of seven days

Topics you will learn

Beginner Module
Introduction to Google Colab and Pytorch
Getting started with Pytorch
Pytorch vs. NumPy
Creating matrices using Tensors
Applying Tensor Operations and Functions
Indexing, Slicing and Reshaping Tensors
Machine Learning vs. Artificial Intelligence vs. Deep Learning
Steps in Training a Deep Learning Algorithm
Applications of Deep Learning
Pytorch Implementation using Forward Propagation
Intermediate Module
Practical Application of Deep Learning in predicting Loan Default
Backward Propagation in Pytorch
Constructing Fully Connected Neural Networks
Practice Example: Fully Connected Neural Network
Activation Functions
Applying Activation Functions using Pytorch
Training Neural Networks
Loss Functions
Applying CE and Softmax function using Pytorch
Preparing Datasets in Pytorch
Advanced Module
Datasets and Dataloaders in Pytorch
Training Neural Network using CIFAR 10 dataset
Convolutional Neural Networks (CNN)
Convolutions in Pytorch
Pooling in CNN
Building CNN
Constructing CNN using Sequential Module
Overfitting in Neural Network
Techniques to counter overfitting
Final Thoughts

Course Offerings

Certificate you will get

Certificate Features

Certification from IITM Pravartak.

Certifications strengthen your programming profile and are recognized around the world.

Certificates are awarded upon the course's completion.

Pre Requsites

Basic knowledge of machine learning and what PyTorch does.

The urge to learn and build efficient deep learning models using PyTorch.

After this Course

Have a strong understanding of deep learning, neural networks, and natural language processing.

Effectively wield PyTorch and build deep learning projects.

Construct and train neural networks.

Crack interviews that require deep learning and NLP knowledge with ease.

Be able to work with datasets and feed them into training models.

Build intelligent machine learning applications and deploy them.

Course is for

Freshers

Professionals

Students

FAQ's

What is a PyTorch course?

A Pytorch course teaches individuals how to use the Pytorch library for machine learning and deep learning. Pytorch is an open-source machine learning library based on the Torch library and is widely used for building neural networks. A PyTorch course typically covers the basics of PyTorch, including tensors, deep learning with Pytorch, automatic differentiation, and neural network building blocks, as well as more advanced topics such as convolutional neural networks, recurrent neural networks, data loading, model training, and deployment.
Why learn a PyTorch course?

A PyTorch course is essential for individuals interested in deep learning and artificial intelligence. PyTorch is a popular open-source machine learning framework that offers an intuitive and flexible platform for building and deploying advanced models. With its user-friendly interface and efficient computational capabilities, It is widely used by researchers, data scientists, and developers to create innovative solutions in various domains. As a result, knowing Pytorch is a huge advantage in the tech world.
Why choose GUVI for learning PyTorch?

The PyTorch certification course offered by GUVI provides an interactive and practical approach to learning. With its easy-to-follow tutorials and hands-on coding exercises, learners can quickly master PyTorch's deep learning capabilities by learning from top industry mentors with years of experience. Additionally, GUVI's supportive community and personalized learning approach make it an ideal choice for individuals looking to advance their skills in PyTorch and become job ready.
What is PyTorch used for?

PyTorch is an open-source machine learning framework used for building and training neural networks. It provides a range of tools and libraries for various machine learning tasks, including computer vision, natural language processing, and deep learning with PyTorch. It is widely popular for its dynamic computational graph, which allows for efficient experimentation and debugging during model development.
Is PyTorch easy to learn?

PyTorch is a popular machine-learning framework known for its flexibility and ease of use. While it may have a steeper learning curve compared to some other frameworks, it offers a more intuitive and Pythonic approach to building neural networks as well as deep learning with Pytorch. But with a good course such as this one by GUVI, its clear documentation, and active community support, learning PyTorch can be a rewarding experience for those interested in deep learning.

What is this course about?

The course focuses on Deep learning using PyTorch. It covers fundamentals through 3 interactive modules designed for Beginners.

What is the duration of the course?

The course offers over 8 hours of recorded content.

Is there a certificate provided upon completion?

Yes, upon completing the course, you will receive a certification

What is the language of the course?

The course is currently available in English.

What are the pre-requisites for this course?

Basic knowledge of machine learning and what PyTorch does. & The urge to learn and build efficient deep learning models using PyTorch.

How can I access the course?

The course is accessible on both web and mobile platforms.

What is the cost of the course?

The original price of the course is ₹2000, but it’s currently available at a discounted price of ₹1799.

How can i buy this course?

To purchase this course you can click on the Enroll Now button it will redirect you to course page, and on that page you can buy Deep learning using PyTorch course.