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Deep learning using PyTorch Hindi
by
Guvi
This course on Deep learning using PyTorch Hindi teaches Deep learning using PyTorch Hindi 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 Hindi language.
Home » Courses » Deep learning using PyTorch Hindi
Deep learning using PyTorch Hindi
by
Guvi
This course on Deep learning using PyTorch Hindi teaches Deep learning using PyTorch Hindi fundamentals through 3 interactive modules. If you are Beginner, then this course is for you. You can access this course on web and mobile. This complete course is available in Hindi language.
Learn all the core concepts of the PyTorch framework and implement them practically with this expert course crafted and taught by industry experts. Throughout this course, you will learn to master many concepts such as Backward Propagation in Pytorch, Deep learning in PyTorch, Constructing Fully Connected Neural Networks, Activation Functions, Training Neural Networks, Data loaders, Training a Neural Network using CIFAR 10 dataset, Building CNN and much more. You will also gain a globally recognized certificate to indicate that you’ve mastered PyTorch thus improving your stance in future tech interviews.
Learn all the core concepts of the PyTorch framework and implement them practically with this expert course crafted and taught by industry experts. Throughout this course, you will learn to master many concepts such as Backward Propagation in Pytorch, Deep learning in PyTorch, Constructing Fully Connected Neural Networks, Activation Functions, Training Neural Networks, Data loaders, Training a Neural Network using CIFAR 10 dataset, Building CNN and much more. You will also gain a globally recognized certificate to indicate that you’ve mastered PyTorch thus improving your stance in future tech interviews.
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
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
Advanced 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
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 in Hindi 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 in Hindi 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 in Hindi?
A PyTorch course in Hindi 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 in Hindi?
The PyTorch certification course in Hindi 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.
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