[AI] Create a Object Recognition Web App with Python & React

سرفصل های دوره

Build AI-driven web apps with FastAPI and React. Discover Machine Learning with Python for developers.

1 - Introduction

1 -Introduction

2 -AI, Machine Learning and Deep Learning

3 -Convolutional Neural Networks (CNNs)

4 -Installing VSCode

5 -VSCode Extensions

6 -Best way to take advantage of this course

2 - FastAPI and Python Setup

1 -What is Python and FastAPI

2 -InstallPythonMacOS.pdf

2 -Installing Python for MacOS

3 -InstallPythonWindows.pdf

3 -Installing Python for Windows

4 -Installing and running FastAPI

5 -Another Example Route

5 -items.zip

6 -Running the server with Uvicorn

7 -Installing packages using requirements.txt

7 -requirements.txt

3 - React Application Setup

1 -What is React and Typescript

2 -Install NodeJS

3 -Create First React App with Vite

4 -ImageControl Component and Style

4 -index.zip

5 -Setting State Variables

6 -Predictions and Image Boxes Template

7 -Image Upload Input

4 - Creating and Setting Prediction Model

1 -Explaining TensorFlow, SSD Model and Coco Dataset

2 -Adding MobileNetV2 SSD COCO Model DataSet

2 -mobilenetv2 ssd coco dataset.zip

2 -mobilenetv2 ssd coco download link.zip

3 -Loading Pre-Trained Model into our App

4 -Run Inference Function

5 -Predict Route

6 -Label Map

6 -coco label map.zip

6 -label map.zip

7 -Returning Results From Prediction Route

8 -Testing Predict Route

8 -images.zip

5 - Adding Serve Data to FrontEnd

1 -UseUploadImageHook

2 -Result Types

3 -Returning Data from Hook

4 -Using Hook in Image Control

5 -API Key

6 -HandleUpload and HandleImage

7 -Testing Image Upload

8 -Allow CORS

9 -Getting Results into Screen

6 - Additional Lectures

1 -Splitting FrontEnd into smaller components

2 -React Props

3 -Use cases and limitations

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تولید کننده: Udemy