Скачать или смотреть Neural Networks Chapter 5 : Convolution Neural Network (CNN)

🎓 In this video, we explore how deep learning models "see" the world. We begin with the classic Feed-Forward Neural Networks, then move to Convolutional Neural Networks (CNNs)—the backbone of modern image recognition.

By the end of this part, you'll understand:

🟧 Feed-Forward Neural Networks (FNNs): How data flows in one direction from input to output and where FNNs are used.

🟧 Convolutional Neural Networks (CNNs): Why CNNs are ideal for image data, capturing spatial patterns using filters.

🟧 Convolution Layer: The key building block in CNNs that detects edges, textures, and meaningful features in images.

🔑 Key Topics Covered:
Feed-Forward Networks: Simple yet powerful foundations of neural modeling.
CNNs: Designed for vision tasks with minimal preprocessing.
Convolution Operation: Sliding filters that learn to see like the human eye.
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