Deep Learning-Based Image Classification Project | Git Docker and Microsoft Azure Cloud Deployment

#python #azurecloud #docker #webapp #deeplearning #project
Deep Learning-Based Image Classification Project: Git, GitHub, Flask Web App, and Microsoft Azure Deployment with Docker.
In this video, we take you through a comprehensive journey of creating and deploying a Deep Learning-based image classification project. We will classify skin cancer images into benign and malignant categories using state-of-the-art technologies.
What You'll Learn:
1. Deep Learning Model Training:
- Learn how to train a ResNet-50 model for skin cancer classification using PyTorch.
- Understand the process of data preprocessing and augmentation.
2. Web Application Development:
- Build a web application using Flask to serve your machine learning model.
- Create a user-friendly interface for uploading images and displaying predictions.
3. Version Control with Git and GitHub:
- Understand the importance of version control in collaborative projects.
- Learn how to use Git for tracking changes and GitHub for hosting your repository.
4. Containerization with Docker:
- Learn how to containerize your Flask application using Docker.
- Understand the benefits of containerization for consistent environments and easy deployment.
5. Cloud Deployment on Microsoft Azure:
- Get step-by-step instructions on deploying your Docker container to Microsoft Azure.
- Learn how to set up Azure services for hosting your web application.
Key Topics Covered:
- Training a ResNet-50 model with PyTorch
- Building a Flask web application
- Using Git and GitHub for version control
- Creating Docker containers
- Deploying applications on Microsoft Azure
Who Is This For?
This video is ideal for developers, data scientists, and anyone interested in machine learning, web development, and cloud deployment. Whether you're a beginner looking to learn new skills or an experienced professional seeking to expand your knowledge, this tutorial has something for you.
Prerequisites:
- Basic understanding of Python and machine learning
- Familiarity with web development concepts
- Some experience with Docker and cloud platforms (helpful but not necessary)
By the end of this video, you will have a fully functional, cloud-deployed web application capable of classifying skin cancer images. Join us on this exciting journey and take your skills to the next level!
Don't forget to like, subscribe, and hit the bell icon for more tutorials like this. Happy coding!
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