What is Neural Networks | AI & Machine Learning | Logicmojo Data Science

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In this video, we dive deep into the fascinating world of neural networks in 2024! What is Neural Networks with Detail Explanation

Are you curious about how neural networks work? 🤔 In this video, we dive deep into the world of neural networks, a fundamental concept in artificial intelligence and machine learning. 🌐 Whether you're a beginner or looking to brush up on your knowledge, this video will provide a comprehensive explanation of neural networks, their architecture, and their applications in data science and AI. 🚀

Topics Covered:
- Introduction to Neural Networks 🧠
- How Neural Networks Work 🔄
- Types of Neural Networks (Convolutional, Recurrent, etc.) 📊
- Applications in AI and Machine Learning 🤖
- Real-world Examples and Projects 🌍

Layers in Neural Networks – Learn about input layers, hidden layers, and output layers, and how data moves through them.
Weights, Biases, and Activation Functions – Understand how neural networks learn and make decisions through parameters like weights, biases, and activation functions like ReLU and Sigmoid.
Forward Propagation and Backpropagation – A step-by-step guide on how neural networks are trained and how they adjust to make more accurate predictions.
Different Types of Neural Networks:
Feedforward Neural Networks (FNNs) for basic tasks like classification.
Convolutional Neural Networks (CNNs) for image processing and computer vision.
Recurrent Neural Networks (RNNs) for sequential data like speech and time series.
Real-world Applications – Discover how neural networks power real-world AI systems like facial recognition, language translation, self-driving cars, and much more.

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