Complete 5 ResNet Deep Learning Project From Scratch 2025
What you'll learn
- Understanding ResNet architecture
- Preparing and augmenting datasets
- Fine-tuning ResNet for various applications.
- Evaluating model performance with metrics and techniques.
Requirements
- Basic Python & Deep Learning Is Required
Description
Welcome to the ultimate course on Deep Learning Project focused on ResNet architecture – master 5 complete Deep Learning Projects from scratch.
This course guides you step-by-step through building and training 5 powerful Deep Learning Projects using ResNet models. Whether you are a beginner or have some experience, this course covers practical techniques and project implementations for real-world Deep Learning Projects.
You will gain hands-on experience in designing, training, and evaluating ResNet-based Deep Learning Projects applicable to image recognition and computer vision tasks.
By the end of this course, you will have successfully completed 5 advanced Deep Learning Projects and gained the confidence to tackle more complex deep learning challenges.
Projects Covered:
Image Classification: Build a ResNet model for multi-class image classification tasks.
Object Detection: Integrate ResNet with YOLO or similar frameworks for object detection.
Medical Image Analysis: Develop a ResNet model for detecting diseases from medical imaging datasets.
Image Segmentation: Use ResNet as a backbone for segmenting objects in complex images.
Facial Recognition System: Train a ResNet model for accurate facial recognition.
This course is ideal for:
AI and Machine Learning Practitioners: Professionals seeking hands-on experience in applying ResNet to real-world problems.
Software Developers: Developers wanting to transition into AI or enhance their skills in computer vision projects.
Data Scientists: Experts looking to expand their knowledge of ResNet for image analysis and related applications.
By the end, you’ll have a robust understanding of ResNet and the ability to implement it in diverse applications.
Who this course is for:
- Students and Researchers
- Aspiring Deep Learning Enthusiasts
Instructor
- 4.1 Instructor Rating
- 2,188 Reviews
- 108,126 Students
- 47 Courses
Hi, I'm Arunnachalam R S from India — a Computer Science graduate with a strong passion for Cybersecurity and emerging technologies. I’ve chosen cybersecurity as my professional domain and am deeply committed to staying ahead in this ever-evolving field.
As a tech educator, I enjoy sharing my knowledge about the latest technological advancements, security practices, and innovations in science and IT. My mission is to simplify complex concepts and help learners of all levels gain practical skills they can apply in real-world scenarios.
I’m excited to be part of the Udemy platform, where I can express my passion for technology, contribute to the global learning community, and empower others through quality education.