RiseUpp Logo
RiseUpp Logo
Building and Training Neural Networks with PyTorch
Educator Logo

Powered by

Provider Logo

Completion

CERTIFICATE

olive-leaves-logo

Building and Training Neural Networks with PyTorch

This course is part of PyTorch: Basics to Cutting-Edge Specialization.

Course Cost

Free course

Intermediate

Skill Level

7.25 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full PyTorch Ultimate 2024 - From Basics to Cutting-Edge Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

What you'll learn

  • Build and train neural networks using PyTorch framework

  • Implement CNNs for image and audio classification tasks

  • Develop object detection models using YOLO algorithm

  • Apply transfer learning and pre-trained networks effectively

  • Create RNN and LSTM networks for sequential data processing

Skills you'll gain

PyTorch
Neural Networks
CNN
YOLO
RNN
LSTM
Transfer Learning
Image Classification
Object Detection
Style Transfer

This course includes:

5.3 Hours PreRecorded video

4 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo
Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 7 modules in this course

This comprehensive course focuses on building and training neural networks using PyTorch. Starting with classification models and confusion matrices, students progress to implementing CNNs for image and audio processing. The curriculum covers advanced topics including object detection with YOLO, neural style transfer, and recurrent neural networks. Through hands-on exercises and practical implementations, learners develop expertise in various neural network architectures while gaining proficiency in PyTorch framework.

Classification Models

Module 1 · 1 Hours to complete

CNN: Image Classification

Module 2 · 1 Hours to complete

CNN: Audio Classification

Module 3 · 48 Minutes to complete

CNN: Object Detection

Module 4 · 1 Hours to complete

Style Transfer

Module 5 · 39 Minutes to complete

Pre-Trained Networks and Transfer Learning

Module 6 · 16 Minutes to complete

Recurrent Neural Networks

Module 7 · 1 Hours to complete

Reviews

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Building and Training Neural Networks with PyTorch

Intermediate

Skill Level

7.25 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.