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Neural Networks - What They Are & Why They Matter - A 30,000 Feet View for Beginners

LearnOpenCV
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2.8K views 2 years ago #opencv #computervision #deeplearning
A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process called deep learning that uses interconnected nodes or neurons in a layered structure that resembles the human brain. It creates an adaptive system that computers use to learn from their mistakes and improve continuously. Thus, artificial neural networks attempt to solve complicated problems, like summarizing documents or recognizing faces, with greater accuracy. The original goal of the neural network approach was to create a computational system that could solve problems like a human brain. However, researchers shifted their focus over time to using neural networks to match specific tasks, leading to deviations from a strictly biological approach. Since then, neural networks have supported diverse tasks, including computer vision, speech recognition, machine trans …...more
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Neural Networks - What They Are & Why They Matter - A 30,000 Feet View for Beginners
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2,829Views
2022Dec 13
A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process called deep learning that uses interconnected nodes or neurons in a layered structure that resembles the human brain. It creates an adaptive system that computers use to learn from their mistakes and improve continuously. Thus, artificial neural networks attempt to solve complicated problems, like summarizing documents or recognizing faces, with greater accuracy. The original goal of the neural network approach was to create a computational system that could solve problems like a human brain. However, researchers shifted their focus over time to using neural networks to match specific tasks, leading to deviations from a strictly biological approach. Since then, neural networks have supported diverse tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games, and medical diagnosis. As structured and unstructured data sizes increased to big data levels, people developed deep learning systems, essentially neural networks with many layers. Deep learning enables the capture and mining of more and bigger data, including unstructured data. Neural networks are also ideally suited to help people solve complex problems in real-life situations. They can learn and model the relationships between inputs and outputs that are nonlinear and complex; make generalizations and inferences; reveal hidden relationships, patterns, and predictions; and model highly volatile data (such as financial time series data) and variances needed to predict rare events (such as fraud detection). Topics Covered: ✅Neural Networks as Black Box ✅Understanding the Neural Network Output ✅Understanding the Neural Network Input ✅What does it mean to train a Neural Network? ✅How do you train a Neural Network? ✅Training a neural network with single and multiple knobs ✅Backpropagation ❓FAQ What are neural networks used for? What is a neural network, and how it works? What is meant by neural networks? What are the 3 major categories of neural networks? Can I train a neural network? What are the steps to train a neural network? What is one way to train a neural network? How do I train a neural network in Python? ⭐️ Time Stamps:⭐️ 0:00-00:28: Introduction 00:28-00:59: Neural Network as a Black Box 00:59-02:50: Image Classification 02:50-04:10: Understanding Neural Network 04:51-05:20: Network Input Requirements 05:20-06:53: Training Neural Network 06:53-07:25: What's Next Resources: 📚 Blog post Link: https://learnopencv.com/neural-networ... 🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow. 🤖 Learn from the experts on AI: Computer Vision and AI Courses YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖 https://opencv.org/courses #️⃣ Connect with Us #️⃣ 📝 Linkedin:   / satyamallick   📱 Twitter:   / learnopencv   🔊 Facebook: https://www.facebook.com/profile.php?... 📸 Instagram:   / learnopencv   🔗 Reddit:   / spmallick   🔖Hashtags🔖 #neuralnetwork #tutorial #machinelearning #deeplearning #computervision #learnopencv #opencv

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LearnOpenCV

59.6K subscribers