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TORRENT DETAILS
Udemy - Object Detection And Recognition Using TensorFlow And Python
TORRENT SUMMARY
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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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FILE LIST
Filename
Size
~Get Your Files Here !/1. INTRODUCTION TO COURSE PROJECT.mp4
13 MB
~Get Your Files Here !/10. CONCLUSION FOR THE PROJECT.mp4
13 MB
~Get Your Files Here !/2. INTRO TO PROJECT FIRST CLASS.mp4
30.8 MB
~Get Your Files Here !/3. HOW TO CREATE DATASET FOR OBJECT DETECTION.mp4
94.1 MB
~Get Your Files Here !/4. TRAIN THE DATASET INTO TENSORFLOW MODEL.mp4
34.8 MB
~Get Your Files Here !/5. VALIDATE AND TESTING THE MODEL.mp4
56.6 MB
~Get Your Files Here !/6. DOWNLOAD THE MODEL AND FEATURES.mp4
50.4 MB
~Get Your Files Here !/7. EXTRACT THE MODEL AND FILES.mp4
17.6 MB
~Get Your Files Here !/8. INSTALL THE PYCHARM IDE AND CODE EXPLAINATION.mp4
62.2 MB
~Get Your Files Here !/9. EXECUTE THE PROJECT IN PYCHARM IDE.mp4