Complete Deep Learning Projects In Python From Scratch

Learn Complete Deep Learning Projects In Python From Scratch

What you'll learn
Explore the process of collecting and preprocessing datasets of facial expressions, ensuring the data is optimized for training a YOLOv7 model.
Dive into the annotation process, marking facial expressions on images to train the YOLOv7 model for accurate and robust emotion detection.
Explore the end-to-end training workflow of YOLOv7 using the annotated and preprocessed dataset, adjusting parameters and monitoring model performance.
Understand how to deploy the trained YOLOv7 model for real-world emotion detection tasks, making it ready for integration into applications or systems.

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

Description
Course Title: Learn Complete Deep Learning Projects In Python From ScratchCourse Description:Welcome to the comprehensive course on "Learn Complete Deep Learning Projects In Python From Scratch using Roboflow." This course is designed to provide students, developers, and healthcare enthusiasts with hands-on experience in implementing the YOLOv8 object detection algorithm for the critical task of detecting brain tumors in MRI images. Through a complete project workflow, you will learn the essential steps from data preprocessing to model deployment, leveraging the capabilities of Roboflow for efficient dataset management.What You Will Learn:Introduction to Medical Imaging and Object Detection:Gain insights into the crucial role of medical imaging, specifically MRI, in detecting brain tumors. Understand the fundamentals of object detection and its application in healthcare using YOLOv8.Setting Up the Project Environment:Learn how to set up the project environment, including the installation of necessary tools and libraries for implementing YOLOv8 for brain tumor detection.Data Collection and Preprocessing:Explore the process of collecting and preprocessing MRI images, ensuring the dataset is optimized for training a YOLOv8 model.Annotation of MRI Images:Dive into the annotation process, marking regions of interest (ROIs) on MRI images to train the YOLOv8 model for accurate and precise detection of brain tumors.Integration with Roboflow:Understand how to seamlessly integrate Roboflow into the project workflow, leveraging its features for efficient dataset management, augmentation, and optimization.Training YOLOv8 Model:Explore the complete training workflow of YOLOv8 using the annotated and preprocessed MRI dataset, understanding parameters, and monitoring model performance.Model Evaluation and Fine-Tuning:Learn techniques for evaluating the trained model, fine-tuning parameters for optimal performance, and ensuring accurate detection of brain tumors in MRI images.Deployment of the Model:Understand how to deploy the trained YOLOv8 model for real-world brain tumor detection tasks, making it ready for integration into a medical environment.

Overview
Section 1: Introduction To Complete Deep Learning Projects In Python From Scratch

Lecture 1 Introduction To Brain Tumor Detection Using YOLOv8 Project

Lecture 2 PROJECT CREATION

Lecture 3 DATASET CREATION FOR BRAIN TUMOR DETECTION

Lecture 4 ANNOTATION FOR DATASET

Lecture 5 TRAINING DATASET WITH YOLOV8 MODEL

Lecture 6 VALIDATE MODEL

Lecture 7 PROJECT EXECUTE IN PYCHARM IDE

Section 2: INTRODUCTION TO EMOTION DETECTION USING YOLOv7 PROJECT

Lecture 8 INTRO TO PROJECT

Lecture 9 ACCOUNT CREATION

Lecture 10 DATASET CREATION

Lecture 11 ANNOTATION AND LABELLING

Lecture 12 TRAIN YOLOV7 MODEL

Lecture 13 VALIDATE YOLOV7 MODEL

Lecture 14 PROJECT EXECUTION IN PYCHARM

Section 3: INTRODUCTION TO FACE RECOGNITION USING YOLOv7 PROJECT

Lecture 15 INTRO TO PROJECT

Lecture 16 PROJECT CREATION

Lecture 17 DATASET CREATION USING VIDEOS AND IMAGES

Lecture 18 ANNOTATION FOR DATASET

Lecture 19 TRAIN YOLOV7 MODEL

Lecture 20 VALIDATE YOLOV7 MODEL

Lecture 21 PROJECT EXECUTE IN PYCHARM

Section 4: INTRODUCTION TO GOOGLE COLAB

Lecture 22 INTRO TO COLAB

Lecture 23 IMPORT PROJECT

Lecture 24 TRAIN MODEL IN COLAB

Lecture 25 VALIADATE MODEL IN COLAB

Lecture 26 DOWNLOAD MODEL IN COLAB

Students and professionals in the field of medical imaging and artificial intelligence.,Developers and data scientists interested in applying YOLOv8 for medical object detection projects.

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