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Udemy - Real World 5 + Deep Learning Projects Complete Course

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Added 2 years ago by freecoursewb in Other
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Udemy - Real World 5 + Deep Learning Projects Complete Course (Size: 1.5 GB)
  1. INTRO TO COURSE.mp4 24.5 MB
  1. INTRO TO PROJECT.mp4 36.7 MB
  1. Introduction To Brain Tumor Detection Using YOLOv8 Project.mp4 28 MB
  2. ACCOUNT CREATION.mp4 38.1 MB
  2. EMOTION DETECTION CLASS ONE.mp4 21 MB
  2. IMPORT PROJECT IN GOOGLE COLAB.mp4 62.1 MB
  2. ROBOFLOW ACCOUNT CREATION.mp4 28.4 MB
  3. DATASET CREATION FOR BRAIN TUMOR DETECTION.mp4 78.7 MB
  3. DATASET CREATION FOR HELMET DETECTION.mp4 100.5 MB
  3. DATASET CREATION USING VIDEOS AND IMAGES.mp4 56.2 MB
  3. TRAINING YOLOV7 MODEL IN COLAB.mp4 49.8 MB
  4. ANNOTATION AND LABELLING FOR DATASET.mp4 63.1 MB
  4. ANNOTATION FOR DATASET.mp4 76.8 MB
  4. VALIDATE MODEL IN COLAB.mp4 39.9 MB
  5. DOWNLOAD MODEL IN COLAB.mp4 28.7 MB
  5. TRAIN DATASET WITH YOLOV7 MODEL.mp4 33.7 MB
  5. TRAINING YOLOV7 MODEL.mp4 41.7 MB
  5. TRAINING DATASET WITH YOLOv8 MODEL.mp4 38.3 MB
  5. TRAINING THE DATASET WITH YOLOv7 MODEL.mp4 30.5 MB
  6. VALIDATE MODEL IN ROBOFLOW.mp4 35.7 MB
  6. VALIDATE MODEL.mp4 27.8 MB
  6. VALIDATE TRAINED MODEL.mp4 31.8 MB
  7. PROJECT EXECUTION IN PYCHARM IDE.mp4 71.8 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 35 total files

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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