Udemy - Object Detection And Recognition Using TensorFlow And Python

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Udemy - Object Detection And Recognition Using TensorFlow And Python (Size: 440.7 MB)
  1. INTRODUCTION TO COURSE PROJECT.mp4 13 MB
  10. CONCLUSION FOR THE PROJECT.mp4 13 MB
  2. INTRO TO PROJECT FIRST CLASS.mp4 30.8 MB
  3. HOW TO CREATE DATASET FOR OBJECT DETECTION.mp4 94.1 MB
  4. TRAIN THE DATASET INTO TENSORFLOW MODEL.mp4 34.8 MB
  5. VALIDATE AND TESTING THE MODEL.mp4 56.6 MB
  6. DOWNLOAD THE MODEL AND FEATURES.mp4 50.4 MB
  7. EXTRACT THE MODEL AND FILES.mp4 17.6 MB
  8. INSTALL THE PYCHARM IDE AND CODE EXPLAINATION.mp4 62.2 MB
  9. EXECUTE THE PROJECT IN PYCHARM IDE.mp4 68.2 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B

Description


Object Detection And Recognition Using TensorFlow And Python

https://DevCourseWeb.com

Published 12/2023
Created by ARUNNACHALAM SHANMUGARAAJAN
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 Lectures ( 40m ) | Size: 440 MB

Learn Object Detection And Recognition Using TensorFlow And Python From Scratch

What you'll learn
Understand the fundamental concepts of object detection and recognition.
Learn effective techniques for collecting and preprocessing data to create a high-quality dataset for model training.
Review essential Python programming concepts and explore key libraries, including TensorFlow, NumPy, and OpenCV.
Implement an object detection model using TensorFlow, focusing on the architecture and design principles.

Requirements
Basic understanding of Python programming
Access to a computer with Python installed.

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