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Explore a wide range of free and certified Audio visual online courses. Find the best Audio visual training programs and enhance your skills today!
Comprehensive guide to Visual COBOL for Visual Studio, covering installation, configuration, debugging, database access, and advanced features for efficient COBOL development in modern environments.
Explore deep learning for audio and music using Python and TensorFlow. Learn neural network fundamentals, audio preprocessing, and advanced architectures like CNNs and LSTMs for music genre classification.
Learn to integrate Crystal Reports with Visual Studio, covering installation, data printing, filtering, multi-table reports, grouping, exporting, and advanced features like barcodes and charts.
Learn C# SQL database operations, including CRUD, using Visual Studio and SQL Server Management Studio. Covers installation, forms, data retrieval, and web services.
Learn to create a guitar audio interface using Web Audio API, covering AudioContext, EQ modification, and audio source connection in this hands-on tutorial for beginners.
Transform Excel data into interactive visual reports using Microsoft Power BI. Learn importing, data manipulation, DAX expressions, chart creation, and report customization in this beginner-friendly tutorial.
Explore audio production essentials: signal processing, equipment handling, and recording techniques. Gain hands-on experience with Reaper software and learn to record various instruments effectively.
Learn to automate video captioning, subtitling, and audio track generation using AWS AI services like Transcribe, Translate, and Polly. Create multilingual streaming content with MediaConvert for global audiences.
Explore Python audio processing: work with mp3/wave files, analyze sampling rates, plot waveforms, record audio, and use PyAudio/PyDub libraries for comprehensive audio manipulation.
Learn to build a Python app for audio content moderation using AssemblyAI API and Streamlit. Transcribe audio, analyze content, and create an interactive tool for efficient moderation.
Explore VirTex, a novel approach to visual representation learning using high-quality image captions, outperforming traditional methods with fewer images for various computer vision tasks.
Learn to build a deep audio classifier using Python and TensorFlow, covering data loading, preprocessing, model creation, and prediction for audio classification tasks.
Explore NÃœWA, a unified multimodal model for visual synthesis tasks. Learn about its 3D transformer framework, 3D Nearby Attention mechanism, and applications in text-to-image/video generation and manipulation.
Explores involution, a novel neural network operation inverting convolution principles. Compares it to self-attention, demonstrating improved performance and efficiency in various computer vision tasks.
Explore key concepts of Transformer models, including encoder, decoder, and attention, through a visual and accessible explanation by ML expert Jay Alammar.
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