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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.
Learn to create an AI model for Street Fighter using Python, covering setup, preprocessing, hyperparameter tuning, and model fine-tuning. Gain hands-on experience in gaming reinforcement learning.
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.
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