Udemy - Real World 5 + Deep Learning Projects Complete Course

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[ DevCourseWeb.com ] Udemy - Real World 5 + Deep Learning Projects Complete Course
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction To Real World 5+ Deep Learning Projects Complete Course
    • 1. Introduction To Brain Tumor Detection Using YOLOv8 Project.mp4 (28.0 MB)
    • 2. ROBOFLOW ACCOUNT CREATION.mp4 (28.4 MB)
    • 3. DATASET CREATION FOR BRAIN TUMOR DETECTION.mp4 (78.7 MB)
    • 4. ANNOTATION AND LABELLING FOR DATASET.mp4 (63.1 MB)
    • 5. TRAINING DATASET WITH YOLOv8 MODEL.mp4 (38.3 MB)
    • 6. VALIDATE TRAINED MODEL.mp4 (24.1 MB)
    • 7. PROJECT EXECUTION IN PYCHARM IDE.mp4 (77.7 MB)
    2. INTRODUCTION TO EMOTION DETECTION USING YOLOv7 PROJECT
    • 1. INTRO TO COURSE.mp4 (24.8 MB)
    • 2. EMOTION DETECTION CLASS ONE.mp4 (21.0 MB)
    • 3. DATASET CREATION USING VIDEOS AND IMAGES.mp4 (57.7 MB)
    • 4. ANNOTATION FOR DATASET.mp4 (62.7 MB)
    • 5. TRAIN DATASET WITH YOLOV7 MODEL.mp4 (33.7 MB)
    • 6. VALIDATE TRAINED MODEL.mp4 (31.8 MB)
    • 7. PROJECT EXECUTION IN PYCHARM IDE.mp4 (70.4 MB)
    3. INTRODUCTION TO FACE RECOGNITION USING YOLOv7 PROJECT
    • 1. INTRO TO PROJECT.mp4 (24.1 MB)
    • 2. ACCOUNT CREATION.mp4 (26.4 MB)
    • 3. DATASET CREATION USING VIDEOS AND IMAGES.mp4 (56.2 MB)
    • 4. ANNOTATION FOR DATASET.mp4 (75.9 MB)
    • 5. TRAINING THE DATASET WITH YOLOv7 MODEL.mp4 (30.5 MB)
    • 6. VALIDATE MODEL IN ROBOFLOW.mp4 (35.7 MB)
    • 7. PROJECT EXECUTION IN PYCHARM IDE.mp4 (69.5 MB)
    4. INTRODUCTION TO HELMET DETECTION USING YOLOv7 PROJECT
    • 1. INTRO TO PROJECT.mp4 (36.7 MB)
    • 2. ACCOUNT CREATION.mp4 (38.1 MB)
    • 3. DATASET CREATION FOR HELMET DETECTION.mp4 (100.5 MB)
    • 4. ANNOTATION FOR DATASET.mp4 (76.8 MB)
    • 5. TRAINING YOLOV7 MODEL.mp4 (41.7 MB)
    • 6. VALIDATE MODEL.mp4 (27.8 MB)
    • 7. PROJECT EXECUTION IN PYCHARM IDE.mp4 (71.8 MB)
    5. INTRODUCTION TO GOOGLE COLAB
    • 1. INTRO TO COURSE.mp4 (24.5 MB)
    • 2. IMPORT PROJECT IN GOOGLE COLAB.mp4 (62.1 MB)
    • 3. TRAINING YOLOV7 MODEL IN COLAB.mp4 (49.8 MB)
    • 4. VALIDATE MODEL IN COLAB.mp4 (39.9 MB)
    • 5. DOWNLOAD MODEL IN COLAB.mp4 (28.7 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Real World 5+ Deep Learning Projects Complete Course

https://DevCourseWeb.com

Published 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 14m | Size: 1.5 GB

Learn Real World 5+ Deep Learning Projects Complete Course Using Roboflow and Google Colab

What you'll learn
Understand how to integrate Roboflow into the project workflow, leveraging its features for efficient dataset management, augmentation, and optimization for bot
Explore the process of collecting and preprocessing datasets for both facial recognition and emotion detection, ensuring the data is optimized for training a YO
Dive into the annotation process, marking facial features on images for recognition and labeling emotions for detection. Train YOLOv7 models for accurate and ro
Explore the end-to-end training workflow of YOLOv7 using the annotated and preprocessed datasets, adjusting parameters, and monitoring model

Requirements
Access to a computer with internet connectivity.
Basic understanding of machine learning and computer vision concepts.



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1.5 GB
seeders:6
leechers:11
Udemy - Real World 5 + Deep Learning Projects Complete Course
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