How To Deploy machine learning model using Flask and Github?

This video tutorial is about deploying pretrained Inception V3 model in Flask App.The pretrained model was trained on ImageNet dataset which is a huge collection of image databases consisting of 14 million images with 1000 different classes. In this video,we show an end to end implementation of deloyment of deep learning model by hosting our model as a web service using Flask App. These are the prerequisties that the users should have inorder to build this project on their own machine: Prerequisties for running this project: Python 3 Anaconda 3 Visual Studio Code or any other editors Steps Involved For building the project: 1) Download the zip file of this project from my github repository on your local computer in desktop location. Github repository link: https://github.com/prabhat-123/Deploying_imagenet_pretrained_models_as_flask_web_service 2) Unzip the project file in desktop location. 3) Open the imagenet_weights.ipynb notebook in google colab and download the weights file and save it in your project directory 4) Open Anaconda prompt and create and activate virtual environment 5) Install all the requirements and dependencies from requirements.txt file 6) Then use the command : python app.py to run flask server and then the project completes....