Deep Learning with PyTorch (2022)

Deep Learning with PyTorch (2022)

Get Deep Learning with PyTorch (2022) on Salaedu.net

Description:

Learn to create real world ML solutions using PyTorch
Learn PyTorch from ground up
Learn to implement deep learning solutions using PyTorch
Learn image processing and transfer learning using PyTorch

Requirements
Basic knowledge of Python is required to complete this course

Description
Deep Learning with PyTorch

Want To Know Tricks To Develop Deep Learning Models Using PyTorch?

This program is specially designed for people who want to start using PyTorch for building AI, Machine Learning, or Deep Learning models and applications. This program will help you learn how PyTorch can be used for developing deep learning models. You’ll learn the PyTorch concepts like Tensors, Autograd, and Automatic differentiation packages. Also, this program will give you a brief about deep learning concepts.

Get in-depth knowledge on convolutional neural networks and how to implement CNNs in PyTorch. Also, get practical knowledge with popular deep learning models. This program will help you learn image classification using PyTorch. Learn how to get started with data preparation and model definition. Also, learn how to test models and optimize algorithms.

Major Concepts That You’ll Learn!

Introduction to Deep Learning with PyTorch

Introduction to PyTorch

PyTorch Concepts

Introduction to Deep Learning

Convolutional Neural Networks

Image Classification with Pytorch

Transfer Learning in PyTorch

Why Should You Learn The Deep Learning?

Deep learning has got approval from all major business functions from customer service to cybersecurity and marketing. It’s helping in the new age of personalization, fraud detection, forecasting, and even supply chain optimization.

Perks Of Availing This Program!

Get Well-Structured Content

Learn From Industry Experts

Learn About PyTorch In Details

So why are you waiting? make your move to start with future learning of Artificial Intelligence.

See You In The Class!

Who this course is for
Anyone who wants to learn PyTorch will find this course very useful