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Learn to create a deep learning Q&A web app using Python, Transformers, and Anvil. Covers model loading, app development, integration, and deployment in a hands-on tutorial.
Learn to create AI models for Doom using Python, VizDoom, OpenAI Gym, and Stable Baselines 3. Master reinforcement learning techniques, curriculum learning, and reward shaping for game AI development.
Learn to create an AI model that plays Super Mario using Python and reinforcement learning. Set up the environment, preprocess data, build and train the model, and see the results in action.
Learn to apply Canny Edge Detection using OpenCV and Python, including parameter tuning, noise reduction, and result exporting in this comprehensive computer vision tutorial.
Learn to build a real-time TikTok data analytics dashboard using Python, Streamlit, and Plotly. Covers data extraction, ETL pipeline creation, and interactive visualization techniques.
Learn to access webcams and USB devices using OpenCV and Python, including capturing photos and creating real-time video feeds. Practical tutorial with code examples and step-by-step guidance.
Learn to create a facial recognition app using Python, TensorFlow, and Kivy. Covers deep learning model development, image processing, and app integration for practical authentication implementation.
Learn to build a deep facial recognition app using Kivy, OpenCV, and TensorFlow. Implement facial verification, create a custom layer, handle webcam input, and fine-tune the model for optimal performance.
Learn to implement real-time facial recognition in Python using OpenCV, including setting up verification images, building a verify function, and performing recognition with webcam integration.
Learn to implement facial recognition in Python using Siamese Neural Networks, including making predictions, calculating metrics, and saving/reloading the model for real-world applications.
Learn to train a Siamese Neural Network for facial recognition using Python and TensorFlow. Covers loss functions, optimizers, custom training steps, and model training implementation.
Learn to build a Siamese Neural Network for facial recognition using TensorFlow, including image embedding, L1 distance layer, and model integration in a Kivy app.
Learn to build a deep facial recognition app by collecting and processing data, using OpenCV for webcam access, and preparing images for model training.
Learn to build a deep facial recognition app using TensorFlow, from setting up dependencies to creating data structures. Implement Siamese Neural Networks for one-shot image recognition in this hands-on tutorial.
Learn to use Pegasus for automatic text summarization with Python and Transformers. Covers installation, model configuration, and summarizing Wikipedia articles, news, and scientific papers.
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