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Learn to process and visualize 3D data using Open3D library. Explore point clouds, meshes, and 3D models. Hands-on tutorial covers installation, folder structure, and voxel downsampling techniques.
Explore EfficientDet, a scalable object detection model that improves accuracy and efficiency through innovative techniques like BiFPN and compound scaling.
Comprehensive exploration of StyleGAN architecture, detailing its innovations over traditional GANs. Covers mapping networks, style control, and noise injection for high-quality image generation.
Explore generative adversarial networks (GANs), their working principles, training phases, and applications in AI and deep learning. Learn how GANs generate realistic data through generator-discriminator competition.
Detailed exploration of InceptionV3 architecture, covering its improvements over previous versions, including factorized convolutions, RMSProp optimizer, and label smoothing for enhanced CNN performance.
Comprehensive explanation of gradient descent optimization, covering mathematical foundations, weight updates, and backpropagation for machine learning and deep learning applications.
Practical explanation of identity and convolutional blocks in ResNet, including line-by-line code breakdown and discussion of residual concepts in deep learning architectures.
Implement custom object detection using YOLO11, from dataset preparation to model training and inference, with step-by-step guidance.
Learn cutting-edge object detection, segmentation, pose estimation, and image classification using YOLO11. Master state-of-the-art techniques for fast, accurate, and flexible computer vision tasks.
Explore Meta AI's advanced image and video segmentation model SAM 2, its capabilities, and implementation for zero-shot object segmentation tasks.
Step-by-step guide to building a Q&A application using RAG, LangChain, and open-source LLMs. Learn to create a sophisticated system leveraging cutting-edge AI technology for efficient question answering.
Learn to create an intelligent Q&A app using Retrieval-Augmented Generation, Gemini Pro, and LangChain. Master advanced retrieval techniques to enhance chatbot performance and build a powerful AI-driven application.
Explore Retrieval-Augmented Generation (RAG): theory, components, and practical implementation. Enhance AI models' capabilities with this comprehensive overview for beginners and enthusiasts alike.
Learn to interact with MySQL databases using LangChain and LLMs. Create an app that translates English inputs into SQL queries, retrieves data, and presents results.
Perform instance segmentation on custom datasets using YOLO11, focusing on brain tumor detection with step-by-step guidance and resources.
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