End TO End Deep Learning Project | Euron
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Ready to take your deep learning projects to the next level? In this step-by-step tutorial, we’ll show you how to deploy deep learning models with MLOps tools like a pro! 🚀 Perfect for machine learning enthusiasts and beginners eager to master production-ready pipelines.
Here’s what you’ll learn:
Building a robust end-to-end deep learning pipeline.
Using TensorFlow 2.x to create image classification models.
Integrating MLOps tools for advanced automation and deployment.
Deploying your project on AWS with CICD pipelines for seamless updates.
Practical examples, including disease classification using chicken feather images.
Whether you're just starting or looking to refine your skills, this video offers a comprehensive guide to deploying deep learning models efficiently. Follow along as we break down project setup, model training, evaluation, and even deployment on the cloud.
Hit play and code along as you unlock the full potential of MLOps! Don’t forget to Like, Subscribe, and hit the notification bell to stay updated on more in-depth tutorials. Let’s kickstart your journey to becoming an MLOps expert with EuronTech! 💻✨
#mlflow #mlops #dataversioning #mlopscommunity #kubeflow
CHAPTERS:
00:00 - Introduction
01:49 - Agenda
04:45 - Problem Statement
06:50 - GitHub Repository Setup
08:20 - Project Template Creation
11:40 - Project Requirement Setup
15:47 - Create Custom Logger
17:57 - Create Common Utils
26:10 - Project Workflow
27:20 - Data Injection
29:37 - Collecting Data
33:57 - Uploading Data to GitHub
34:00 - Configuring the .yaml File
39:50 - Convert Notebook Code to Modular Code
42:37 - Create Data Ingestion Pipeline
46:14 - Prepare Base Model
48:30 - Using Pretrained Models
52:13 - Update Configurations
53:14 - Update Parameters
54:41 - Create Entity
55:06 - Create Config Manager
59:10 - Converting Notebook to Modular Code
1:11:17 - Model Evaluation
1:17:54 - Creating Prediction Pipeline
1:19:35 - Creating User Application
1:25:06 - Final Deployment
1:27:27 - Copying Model to Directory
1:28:48 - Deployment Process
1:31:25 - Understanding CI/CD Deployment
1:37:18 - Overview of the Entire Process
1:38:06 - Creating IAM User
1:39:56 - Creating ECR Repository
1:40:37 - Creating EC2 Instance
1:44:08 - Configuring EC2 as Self-Hosted Runner
1:45:51 - Adding Security Credentials
1:49:04 - CI/CD Process
1:50:05 - Testing
1:52:48 - Deleting Resources
1:53:17 - Next Project Details
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