Artificial Intelligence (417) — CBSE Class 10 board question

Concept: Neural Network (Deep Learning)

The diagram illustrates a Neural Network, a Deep Learning model inspired by the human brain's structure.

Working:

• A neural network consists of interconnected nodes (neurons) organized in three layers:

1. Input Layer – Receives raw data (e.g., pixel values of an image).
2. Hidden Layer(s) – Multiple ML algorithms work together to automatically extract features and identify patterns from the data.
3. Output Layer – Produces the final result (e.g., identifying the object as a bird).

• Each node acts as a machine learning algorithm, processing information passed from the previous layer.
• The network is trained on large datasets, enabling it to develop its own algorithms and improve accuracy over time without explicit programming.

Source: Chapter 2, Section 2.1 & Sub-Categories of Deep Learning

---

• The diagram showing "organized machine learning algorithms performing tasks" points to Deep Learning / Artificial Neural Network (ANN) — multiple ML algorithms working together in layers.
• Examiners expect: name of concept, inspiration (human brain), three layers with their roles, and the key feature (automatic feature extraction from large data).
• Don't confuse ANN with simple ML — emphasize multiple algorithms and layers as the distinguishing features.
• 4 marks = concept identification (1) + three layers explained (2) + key characteristic (1).