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Скачать или смотреть Lecture 34: Introduction to Artificial Neural Network (part 2) (Hindi)

  • CS Simplified
  • 2023-10-01
  • 391
Lecture 34: Introduction to Artificial Neural Network (part 2) (Hindi)
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Описание к видео Lecture 34: Introduction to Artificial Neural Network (part 2) (Hindi)

🌟 Embark on a Journey into the Future of AI: Introduction to Artificial Neural Networks 🧠

Welcome to a mind-bending adventure into the fascinating world of Artificial Neural Networks (ANNs). 🤖 In this video, we're peeling back the layers of the AI onion to reveal the inner workings of neural networks.

🔍 Unraveling the Mystery: We'll start by demystifying the differences between Artificial Neural Networks, Machine Learning, and Deep Learning. Discover the unique role that ANNs play in the AI landscape.

🎓 Supervised Learning Demystified: Get ready for a deep dive into Supervised Learning, a core concept in AI. Learn how machines are trained to make predictions, and understand the crucial distinction between training and testing data.

🔬 Hands-On Example: We won't just talk theory. You'll witness the magic of ANNs with a hands-on example using the MNIST dataset. See how neural networks can recognize handwritten digits, unleashing their practical power.

🧮 From Neurons to Networks: We'll dissect the formal definitions, terminologies, and representations of neurons and neural networks. It's the foundation of AI, explained in a way that anyone can grasp.

⚡ Activating Insights: Explore Activation Functions, the secret sauce behind neural network decisions. Witness how they add complexity and intelligence to AI systems.

📊 Demystifying Softmax: Ever wondered how probabilities are calculated in AI? We'll decode Softmax, a key function in producing those probability distributions.

🔠 One-Hot Encoding: Discover the art of representing categorical data using One-Hot Encoding. It's a fundamental technique that transforms data into a format neural networks can digest.

🚀 Backpropagation Unleashed: Get ready to unravel Backpropagation, the engine that drives neural network learning. Understand how errors are propagated backward to fine-tune the model.

🎯 Fine-Tuning with Learning Rates: The learning rate can make or break a neural network. We'll explore the delicate art of fine-tuning this critical parameter for optimal results.

📈 Guarding Against Overfitting: Learn to spot Overfitting and discover how it can be mitigated with real-world examples. It's an essential skill in the world of AI.

🚀 Empower Your AI Journey: Whether you're a budding AI enthusiast, data scientist, or just curious about the technology shaping our future, this video is your gateway to mastering the fundamentals of Artificial Neural Networks.

📚 Next Steps & Resources: We won't leave you hanging! Dive deeper into AI with the resources and tools we recommend to continue your journey.

Don't miss out on this thrilling exploration of Artificial Neural Networks. The future of AI is here, and you're invited to be part of it. Join us on this educational odyssey and unlock the secrets of neural networks! 🌐🧠

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