Deep Learning with PyTorch
Deep Learning with PyTorch, available at $39.99, has an average rating of 4, with 32 lectures, 5 quizzes, based on 2 reviews, and has 48 subscribers.
You will learn about 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 This course is ideal for individuals who are Anyone who wants to learn PyTorch will find this course very useful It is particularly useful for Anyone who wants to learn PyTorch will find this course very useful.
Enroll now: Deep Learning with PyTorch
Summary
Title: Deep Learning with PyTorch
Price: $39.99
Average Rating: 4
Number of Lectures: 32
Number of Quizzes: 5
Number of Published Lectures: 32
Number of Published Quizzes: 5
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 37
Original Price: $79.99
Quality Status: approved
Status: Live
What You Will Learn
- 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
Who Should Attend
- Anyone who wants to learn PyTorch will find this course very useful
Target Audiences
- Anyone who wants to learn PyTorch will find this course very useful
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!
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Introduction to Deep Learning with PyTorch
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Introduction to PyTorch
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PyTorch Concepts
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Introduction to Deep Learning
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Convolutional Neural Networks
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Image Classification with Pytorch
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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!
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Get Well-Structured Content
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Learn From Industry Experts
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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!
Course Curriculum
Chapter 1: Introduction to Deep Learning with PyTorch
Lecture 1: Course Introduction
Chapter 2: Introduction to PyTorch
Lecture 1: Section Overview
Lecture 2: Installation
Lecture 3: Why PyTorch?
Lecture 4: Section Summary
Chapter 3: PyTorch Concepts
Lecture 1: Section Overview
Lecture 2: Tensors
Lecture 3: Autograd
Lecture 4: Define by Run
Lecture 5: Section Summary
Chapter 4: Introduction to Deep Learning
Lecture 1: Section Overview
Lecture 2: Review of Artificial Neural Networks
Lecture 3: Neural Network Package
Lecture 4: Training Neural Network
Lecture 5: Section Summary
Chapter 5: Convolutional Neural Networks
Lecture 1: Section Overview
Lecture 2: Convolution Neural Networks (CNNs)
Lecture 3: Implementing CNNs in PyTorch
Lecture 4: From layers to models
Lecture 5: Popular models
Lecture 6: Section Summary
Chapter 6: Image Classification with Pytorch
Lecture 1: Section Introduction
Lecture 2: Data Preparation and Model Definition
Lecture 3: Train the Model
Lecture 4: Plotting and Testing the Model
Lecture 5: Optimization of Algorithm
Lecture 6: Hyperparameter Optimization
Lecture 7: Summary
Chapter 7: Transfer Learning in PyTorch
Lecture 1: Section Introduction
Lecture 2: Introduction to Transfer Learning
Lecture 3: Implementing Transfer Learning
Lecture 4: Summary
Instructors
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Eduonix Learning Solutions
1+ Million Students Worldwide | 200+ Courses
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 2 votes
- 5 stars: 0 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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