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Comprehensive guide to building a face detection model using TensorFlow and Python, covering data collection, augmentation, model creation, training, and real-time testing for practical implementation.
Enhance image resolution using ESRGAN and Python. Learn to upscale images up to 4x size with this beginner-friendly tutorial covering repo cloning, model setup, and dependency installation.
Learn to build a real-time Automatic Number Plate Recognition system using Python, TensorFlow, and EasyOCR. Covers plate detection, OCR application, and result saving for practical implementation.
Comprehensive guide to Tensorflow Object Detection: from setup to advanced projects. Learn to build, train, and deploy models for gesture, defect, and sentiment detection using Python, JavaScript, and Raspberry Pi.
Learn to build an Automatic Number Plate Recognition system using Python, OpenCV, and EasyOCR. Master image processing, contour detection, and optical character recognition for practical computer vision applications.
Automate sales forecasting using AutoAI and Python, integrating machine learning pipelines with Excel for efficient and accurate predictions.
Explore DALLE-2's capabilities in generating hyper-realistic images from text prompts. Learn about prompts, in-painting, and practical techniques for creating stunning AI-generated visuals.
Learn to build a Generative Adversarial Network from scratch using Python and TensorFlow. Master data visualization, neural network construction, custom training loops, and image generation in this hands-on deep learning project.
Develop an iris tracking model using keypoint detection with TensorFlow and Python. Learn data preparation, model creation, training, and real-time detection for advanced computer vision applications.
Learn to detect toxic comments using deep learning and Python. Build a model, prepare data, make predictions, evaluate results, and create a Gradio app for practical application.
Learn to build a custom deep CNN image classifier from scratch using Python, TensorFlow, and Keras. Covers data pipeline, preprocessing, network building, training, evaluation, and model saving.
Learn to set up Python, Jupyter, and TensorFlow for deep learning. Create environments, configure GPU, and train an image classifier. Perfect for beginners starting their deep learning journey.
Learn to build a deep audio classifier using Python and TensorFlow, covering data loading, preprocessing, model creation, and prediction for audio classification tasks.
Learn to apply face swapping technology using SimSwap model. Gain understanding of the GAN, apply it to images and videos, and explore various use cases. Includes step-by-step tutorial and final results demonstration.
Learn to recolor black and white images using DeOldify AI and Python in this beginner-friendly tutorial. Covers setup, implementation, and showcases impressive results.
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