Skip to main content
Chapter 7 of 10
Syllabus

Building the Neural Network — Syllabus

ICSE · Class 12 · Artificial Intelligence

What Building the Neural Network covers in ICSE Class 12 Artificial Intelligence: 4 topics, for the 2026-27 session.

70 questions32 flashcards5 concepts

Interactive on Super Tutor

Studying Building the Neural Network? Get the full interactive chapter.

Quizzes, flashcards, AI doubt-solver and a step-by-step study plan — built for syllabus and more.

Free trial, no card needed.

4 Topics · ICSE Class 12 Artificial Intelligence · 2026-27

Topics in Building the Neural Network

1

Core Ideas of Keras and TensorFlow

  • Keras is a high-level neural network API in Python that simplifies constructing and training neural networks.
  • TensorFlow is an open-source, end-to-end platform for Machine Learning.
  • TensorFlow is primarily developed by the Google Brain Team.
2

Five-Step Keras Workflow

  • Creating a neural network in Keras involves a standard five-step workflow.
  • Step 1 is Prepare Data: load the dataset and reshape or normalize it.
  • Step 2 is Define Model: stack layers to create the architecture.
3

Layers and Model Building

  • The Sequential model is a linear stack of layers and is the easiest way to define a model architecture.
  • Dense layer is a fully connected layer where every neuron is connected to every neuron in the previous layer.
  • Dense layer performs the heavy lifting of learning patterns.
4

Activation Functions, Loss Functions, and Optimizer

  • ReLU introduces non-linearity and is used in hidden Dense layers.
  • Sigmoid activation is used in the output layer for binary classification with a single unit.
  • Softmax activation is standard for multi-class classification because it gives a probability distribution summing to 1.

Key Concepts

Central concept: Neural network construction and training using Keras and TensorFlow

KerasTensorFlowFive-step workflowSequential modelDense layerFlatten layerDropout layerReLU

Work through every topic in Building the Neural Network with notes and quizzes

Start This Chapter

Frequently Asked Questions

What are the important topics in Building the Neural Network for ICSE Class 12 Artificial Intelligence?
Key topics in Building the Neural Network include Core Ideas of Keras and TensorFlow, Five-Step Keras Workflow, Layers and Model Building, Activation Functions, Loss Functions, and Optimizer. Study these first, then practise questions on each for the ICSE Class 12 board exam.
How should I revise Building the Neural Network for the ICSE Class 12 board exam?
Learn the core ideas first, then work through the 70 practice questions on Building the Neural Network. Revise definitions regularly and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

For serious students

Get the full Building the Neural Network chapter — start free.

Quizzes, flashcards, an AI doubt solver and a study plan for ICSE Class 12 Artificial Intelligence. Free to start, no card needed.