Deep Learning
Image Recognition using MobileNetV2
Actual notebook-based tutorial for loading images in Python, preprocessing for MobileNetV2 and decoding ImageNet predictions.
Practical Computer Vision & Deep Learning
Learn AI by building real projects with videos, code and tutorials.
AI Code School brings together YouTube lessons, written tutorials, code snippets, and project-ready guidance so you can learn and teach with confidence.
10+Project tutorials
3Learning tracks
Code-firstTeaching style
Python • PyTorch • TensorFlow • OpenCV
YouTube companion tutorials and source code
Featured Videos
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Computer Vision
Facial Emotion Recognition using DeepFace and OpenCV
Actual notebook-based tutorial for detecting faces, analyzing emotions with DeepFace and drawing emotion labels using OpenCV.
Research Project
Driver Identification Using Deep Learning
Driver identification pipeline using deep learning for recognizing driver identity from image/video input.
PyTorch
Face Emotion Recognition (PyTorch)
Realtime face emotion recognition using PyTorch, OpenCV and webcam inference.
TensorFlow
Facial Emotion Recognition using MobileNetV2 Transfer Learning
Notebook-based emotion recognition tutorial using TensorFlow, MobileNetV2 transfer learning, seven emotion classes, Haar cascade face detection and realtime prediction logic.
OCR
Image to Text OCR with Python
OCR tutorial for extracting text from images using Python preprocessing and recognition logic.
Learning Tracks
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Computer Vision Tutorials
Object detection, OCR, pose estimation, drowsiness detection, driver identification and more.
- Project-based tutorials
- OpenCV + Python workflows
- Easy to expand later
Deep Learning Modules
PyTorch, TensorFlow, CNNs, model pipelines and practical classification projects.
- YouTube companion pages
- Code explanations
- Beginner to intermediate
Code & Teaching Resources
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- Python code sections
- Future premium downloads
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Tutorial Library
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Each tutorial has its own page so you can expand details later without changing the site structure.
Image Recognition using MobileNetV2
Actual notebook-based tutorial for loading images in Python, preprocessing for MobileNetV2 and decoding ImageNet predictions.
Facial Emotion Recognition using DeepFace and OpenCV
Actual notebook-based tutorial for detecting faces, analyzing emotions with DeepFace and drawing emotion labels using OpenCV.
Driver Identification Using Deep Learning
Driver identification pipeline using deep learning for recognizing driver identity from image/video input.
Face Emotion Recognition (PyTorch)
Realtime face emotion recognition using PyTorch, OpenCV and webcam inference.
Facial Emotion Recognition using MobileNetV2 Transfer Learning
Notebook-based emotion recognition tutorial using TensorFlow, MobileNetV2 transfer learning, seven emotion classes, Haar cascade face detection and realtime prediction logic.
Image to Text OCR with Python
OCR tutorial for extracting text from images using Python preprocessing and recognition logic.
Code-First Teaching
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Python Example
Explain the code just below the video
pythonexample
import cv2
image = cv2.imread("sample.jpg")
classifier = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
faces = classifier.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)
for (x, y, w, h) in faces:
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.imshow("Result", image)
cv2.waitKey(0)Blog & Content Strategy
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How to Turn a YouTube Lesson into a High-Ranking Tutorial
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Best Structure for AI Project Tutorials on Your Website
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How to Publish Source Code Downloads the Right Way
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Resource Hub
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Code Library
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Python Snippet Pages
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