[NEW] 2024:Complete Computer Vision With GenAI-12 Projects
CNN, LSTM,GAN,Transfer Learning, Data Augmentation/Annotation, Deepfake,YOLO,Face recognition,object detection,tracking
4.71 (7 reviews)
90
students
27 hours
content
Mar 2024
last update
$54.99
regular price
What you will learn
DEEP LEARNING
TENSORFLOW
KERAS
convolutional neural network (CNN)
recurrent neural network (RNN)
LSTM (Long Short-Term Memory)
Gated Recurrent Unit (GRU)
Keras Callbacks / Checkpoints /early stopping
Generative adversarial networks (GANs)
IMAGE CAPTIONING
KERAS Preprocessing layers
Transfer Learning
IMAGE CLASSIFICATION
DATA Annotation
two shot detection MASK RCNN
ONE SHOT DETECTION YOLO
YOLO-WORLD
MOONDREAM
FACE RECOGNITION
FACE SWAPPING - DEEP FAKE GENERATION (IMAGE + VIDEOS
OBJECT DETECTION
SEMANTIC SEGMENTATION
INSTANCE SEGMENTATION
KEYPOINT DETECTION
POSE DETECTION/ACTION RECOGNITION
OBJECT TRACKING IN VIDEOS
OBJECT COUNTING IN VIDEOS
IMAGE GENERATION BONUS LESSONS
Projects
ImageNet
COCO
Pytorch
segmentation
classification
Pattern Recognition
Deep Learning
Machine Learning
feature extraction
HUMAN ACTION RECOGNITION
Image annotation
IMAGE CLASSIFICATION
OBJECT RECOGNITION
Deepfake
Why take this course?
🌟 **[NEW] 2023:Complete Computer Vision With GenAI-12 Projects** 🌟
---
### Welcome to the Future of AI! 🚀
Embark on a transformative journey into the heart of Deep Learning with our comprehensive online course. Designed for everyone from seasoned Machine Learning professionals to beginners eager to explore the vast potential of Computer Vision, this course is your ticket to mastering advanced Deep Learning techniques using Tensorflow, Keras, and other cutting-edge tools.
---
### 📚 **Course Highlights:**
- **Foundational Mastery:** Dive into the core concepts of Deep Learning, ensuring a strong base for more complex topics.
- **Hands-on Experience:** Engage with real-world projects that cover image classification, object detection, and much more.
- **Advanced Topics:** Explore the frontiers of Computer Vision with transfer learning, data augmentation, and the latest models like YOLOv8 and Stable Diffusion.
---
### 🔖 **Course Curriculum Overview:**
#### **Section 1: Computer Vision Introduction & Basics**
- Lay down the fundamental concepts of computer vision and image processing.
- Explore various color spaces and their significance in image analysis.
#### **Section 2: Neural Networks - Into the World of Deep Learning**
- Unveil the mysteries behind neural networks and their pivotal role in AI.
- Understand how they are applied to solve complex problems.
#### **Section 3: Tensorflow and Keras**
- Master Tensorflow and Keras, two of the most popular frameworks for Deep Learning.
- Gain proficiency in using these tools to build neural networks.
#### **Section 4: Image Classification Explained & Project**
- Delve into Convolutional Neural Networks (CNNs) and understand their importance in image classification tasks.
- Apply your knowledge with a hands-on project to solidify your understanding.
#### **Section 5: Keras Preprocessing Layers and Transfer Learning**
- Learn the power of data augmentation using Keras preprocessing layers.
- Discover how transfer learning can accelerate model development and improve performance.
#### **Section 6: RNN LSTM & GRU Introduction**
- Dive into the world of Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and Gated Recurrent Units (GRUs).
- Understand how they are used to handle sequential data like text or time series.
#### **Section 7: Object Detection & Counting with YOLOv8**
- Learn to detect and count objects in images using the latest YOLOv8 model.
- Gain insights into the practical applications of object detection.
#### **Section 8: Human Action Recognition Project**
- Explore the field of human action recognition through a comprehensive project.
- Understand how Deep Learning models can interpret and predict human movements.
#### **Section 9: Image Analysis Models**
- Get to know pre-trained models like YOLO-WORLD and Moondream1 for various image analysis tasks.
#### **Section 10: Face Detection & Recognition (AGE GENDER MOOD Analysis)**
- Learn advanced techniques for face detection, recognition, and emotional analysis.
#### **Section 11: Deepfake Generation**
- Understand the technology behind deepfakes and their implications.
#### **Section 12: Generative AI - Image Generation Via Prompting - Diffusion Models**
- Venture into the realm of Generative AI with a focus on Stable Diffusion models, CLIP, U-Net, and other tools and resources.
---
### 🌟 **Why Choose This Course?**
- **Cutting-Edge Content:** Our course is updated with the latest advancements in Deep Learning to ensure you are learning the most current techniques.
- **Practical Projects:** Apply your knowledge through hands-on projects that will help you understand the real-world applications of Computer Vision and Deep Learning.
- **Clear & Comprehensive Explanations:** Even the most complex concepts are broken down into easy-to-understand modules, complete with examples for clarity.
- **Structured Learning Path:** The course is carefully structured to provide an organized learning experience that builds on your knowledge step by step.
---
Join us now and unlock your potential in Computer Vision and Deep Learning! 🤖✨
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5841158
udemy ID
2/25/2024
course created date
3/24/2024
course indexed date
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