Description
PyTorch Essential Training: Working with Images. This course teaches practical deep learning methods for image classification using PyTorch. This course is designed with a project-based approach for machine learning developers and data scientists who are facing the challenges of convolutional neural networks and their applications. Participants will be introduced to essential concepts and steps, including data preprocessing, the training process, and evaluating a pretrained model. More advanced topics such as transfer learning, fine-tuning a model to improve performance, and using various evaluation metrics are also covered in this course. Key skills practiced in this course include mastering the PyTorch library, understanding the principles of artificial intelligence, and effectively implementing deep learning algorithms. This training will allow participants to apply their theoretical knowledge in a practical context and build powerful models for image analysis.
What you will learn
- An Introduction to Image Classification
- What is image classification?
- Binary Image Classification.
- Multiclass Image Classification.
- Understanding convolutional neural networks (CNNs).
- Data preparation
- Importing the required packages.
- Organizing the Dataset.
- Transforming the Data.
- Visualizing the Data.
- Transfer learning with a pre-trained model
- An introduction to transfer learning.
- Introducing the ResNet model.
- Fine-tuning ResNet for binary classification.
- Freeze layers and learn from specific blocks.
- Model training and testing
- Setting up the Training Loop.
- Loss Function and Optimizer.
- Evaluating Model Performance.
- Saving the Model.
- Visualizing Predictions.
- Challenge: Model evaluation and testing.
- Solution: Evaluate and test the model.
- Capstone Project
This course is suitable for people who:
- Machine learning developers and data scientists who want to gain practical skills in working with CNNs and image classification.
- Professionals looking for project-based experience with PyTorch.
- People who want to learn about transfer learning, model fine-tuning, and evaluation metrics in the field of Computer Vision.
- Anyone looking for a practical understanding of training and evaluating a pre-trained model.
PyTorch Essential Training: Working with Images Course Details
- Publisher: LinkedIn
- Instructor: Terezija Semenski
- Education level: Intermediate
- Training duration: 1 hour and 31 minutes
Course headings
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
103 MB
