Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024!
Next-Gen Computer Vision: YOLOv8, DINO-GPT4V, OpenCV4, Face Recognition, GenerativeAI, Diffusion Models & Transformers
4.18 (1676 reviews)
14,061
students
28.5 hours
content
Nov 2024
last update
$79.99
regular price
What you will learn
All major Computer Vision theory and concepts (updated in late 2023!)
Learn to use PyTorch, TensorFlow 2.0 and Keras for Computer Vision Deep Learning tasks
YOLOv8: Cutting-edge Object Recognition
DINO-GPT4V: Next-Gen Vision Models
Learn all major Object Detection Frameworks from YOLOv8, R-CNNs, Detectron2, SSDs, EfficientDetect and more!
Deep Segmentation with Segment Anything, U-Net, SegNet and DeepLabV3
Understand what CNNs 'see' by Visualizing Different Activations and applying GradCAM
Generative Adverserial Networks (GANs) & Autoencoders - Generate Digits, Anime Characters, Transform Styles and implement Super Resolution
Training, fine tuning and analyzing your very own Classifiers
Facial Recognition along with Gender, Age, Emotion and Ethnicity Detection
Neural Style Transfer and Google Deep Dream
Transfer Learning, Fine Tuning and Advanced CNN Techniques
Important Modern CNNs designs like ResNets, InceptionV3, DenseNet, MobileNet, EffiicentNet and much more!
Tracking with DeepSORT
Siamese Networks, Facial Recognition and Analysis (Age, Gender, Emotion and Ethnicity)
Image Captioning, Depth Estimination and Vision Transformers
Point Cloud (3D data) Classification and Segmentation
Making a Computer Vision API and Web App using Flask
OpenCV4 in detail, covering all major concepts with lots of example code
All Course Code works in accompanying Google Colab Python Notebooks
Meta CLIP for Enhanced Image Analysis
Screenshots
3214523
udemy ID
6/8/2020
course created date
2/27/2022
course indexed date
Ignacio Castro
course submited by