How to Build an AI Model with Tensorflow & Deploy with Django [ Step by Step Guide ]

⭐ Hello World, In this video we walk you through the process of training an Artificial Intelligence model with Tensorflow precisely a Multi-image classifier. We prepare our dataset, load it, train the model and save it. The saved model is then used by our Django web app to perform predictions i.e predicts the class of an image uploaded to the website.

📚 Source Code: https://github.com/Academy-Omen/tenso...

📚 Materials/References:
🔗 Starter files: https://github.com/Academy-Omen/tenso...
🔗 Tensorflow Image Classifier Example: https://www.tensorflow.org/tutorials/...
🔗 Django Beginner's Tutorial: Django 3 Beginner's Step by Step Tuto...

Time Stamps 👇
00:00 Introduction
00:19 Demo of the web app
01:18 ❤️ Like & Subscribe Now
02:10 Get the Starter files
03:04 Notes & Prerequisites
03:35 Setup Instructions
06:06 Prepare Dataset
07:31 Label Dataset and Load in our code
13:02 Train the Model using Tensorflow
14:40 Create Convolutional Neural Network in train.py
17:18 Train the model ( 100 epochs fast-forward )
18:30 Load Trained model and perform prediction
20:53 Create and Setup Django app
23:21 Update the settings.py file
20:00 Create a views.py file with our logic
33:40 The Index.html file
38:00 Configure the route in the url.py file
41: 40 Closing

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