Teachers and Examiners (CBSESkillEduction) collaborated to create the Neural Network Class 9 Notes. All the important Information are taken from the NCERT Textbook Artificial Intelligence (417).
Neural Network Class 9 Notes
Algorithm
An algorithm is a set of instructions used in machine learning that allows a computer programme to mimic how a human learns to classify certain types of data.
a. Supervised Learning
Supervised learning is a method of developing artificial intelligence that involves training a computer algorithm on input data that has been labeled for a certain output.
Example of Supervised Learning
You obtain a set of photographs with descriptions of what’s on them, and then you train a model to detect fresh photos.
b. Unsupervised Learning
The use of artificial intelligence (AI) systems to find patterns in data sets including data points that are neither categorized nor labeled is known as unsupervised learning.
Example of Unsupervised Learning
Assume the unsupervised learning algorithm is given an input dataset with photographs of various cats and dogs. The algorithm is never trained on the given dataset, therefore it has no knowledge what the dataset’s characteristics are.
c. Reinforcement Learning
“An intelligent agent interacts with the environment and learns to operate within that environment through reinforcement learning.”
Example of Reinforcement Learning
Neural Network
Warren McCulloch and Walter Pitts proposed neural networks for the first time in 1944.
A neural network is an artificial intelligence strategy for teaching computers to analyze data in the same way that the human brain does. Deep learning is a form of machine learning technique that employs interconnected nodes or neurons in a layered structure to mimic the human brain. It develops an adaptive framework that allows computers to learn from their errors and continuously improve.
Some of the features of a Neural Network are listed below:
- The human brain and nervous system are used to model neural network systems.
- They can automatically extract features without the programmer’s input.
- Every node in a neural network is a machine learning algorithm.
- It comes in handy while working on difficulties with a large data set.
Neural Networks Vs Human Nervous System
In the subject of Neural Network research, the biological brain and Artificial Neural Networks are two of the most challenging areas of study.
a. SIZE: The human brain contains 86 billion neurons and over 100 trillion connections that transmit electrical information throughout the body. The number of neurons in the artificial neural network is far lower.
b. MEMORY: The primary distinction is that humans forget, whereas neural networks do not. A neural network that has been properly trained.
c. ENERGY CONSUMPTION: The biological brain uses roughly 20% of the total energy consumed by the human body. Artificial constructions can’t even come close to matching the efficiency level of a biological brain, which operates on roughly 20 watts.
Employability skills Class 9 Notes
- Unit 1 – Communication Skills Class 9 Notes
- Unit 2 – Self-Management Skills Class 9 Notes
- Unit 3 – Basic ICT Skills Class 9 Notes
- Unit 4 – Entrepreneurial Skills Class 9 Notes
- Unit 5 – Green Skills Class 9 Notes
Employability skills Class 9 MCQ
- Unit 1 – Communication Skills Class 9 MCQ
- Unit 2 – Self-Management Skills Class 9 MCQ
- Unit 3 – Basic ICT Skills Class 9 MCQ
- Unit 4 – Entrepreneurial Skillls Class 9 MCQ
- Unit 5 – Green Skills Class 9 MCQ
Employability skills Class 9 Questions and Answers
- Unit 1 – Communication Skills Class 9 Questionns and Answers
- Unit 2 – Self-Management Skills Class 9 Questions and Answers
- Unit 3 – Basic ICT Skills Class 9 Questions and Answers
- Unit 4 – Entrepreneurial Skills Class 9 Questions and Answers
- Unit 5 – Green Skills Class 9 Questions and Answers
Aritificial Intelligence Class 9 Notes
- Unit 1 – Introduction to Artificial Intelligence Class 9 Notes
- Unit 2 – AI Project Cycle Class 9 Notes
- Unit 3 – Neural Network Class 9 Notes
- Unit 4 – Introduction to Python Class 9 Notes
- Unit 4 : Introduction to Tools for AI Class 9 Notes
- Unit 4 : Flow of Control in Python Class 9 Notes
- Unit 4 : Introduction to Packages Python Class 9 Notes
Aritificial Intelligence Class 9 MCQ
- Unit 1 – Introduction to Artificial Intelligence Class 9 MCQ
- Unit 2 – AI Project Cycle Class 9 MCQ
- Unit 3 – Neural Network Class 9 MCQ
- Unit 4 – Introduction to Python Class 9 MCQ
Artificial Intelligence Class 9 Questions and Answers
- Unit 1 – Introduction to Artificial Intelligence Class 9 Questions and Answers
- Unit 2 – AI Project Cycle Class 9 Questions and Answers
- Unit 3 – Neural Network Class 9 Questions and Answers
- Unit 4 – Introduction to Python Class 9 Questions and Answers
Reference Textbook
The above Neural Network Class 9 Notes was created using the NCERT Book and Study Material accessible on the CBSE ACADEMIC as a reference.
Disclaimer – 100% of the questions are taken from the CBSE textbook Neural Network Class 9, our team has tried to collect all the correct Information from the textbook . If you found any suggestion or any error please contact us anuraganand2017@gmail.com.