Neural Network CH5

Question 1

What is Neural Network Layer

Answer 1

• Is a fundamental building block of a neural network, a computational model inspired by the human brain process information.
  3 LAYERS
  1. Input Layer
  2. Hidden Layer
  3. Output Layer

Question 2

Machine Learning

Answer 2

a transformative branch of AI that focuses on developing systems that learn from and make decision based on data

Question 3

How does it work?

Answer 3

1. Data Ingestion
2. Model Training
3. Testing and Validation
4. Deployment

Question 4

Types of Machine Learning

Answer 4

1. Supervised Learning - machine learns from data, make predictions based on I/O pairs
2. Unsupervised Learning - machine uses unlabeled data to find patterns and relationships
3. Reinforcement Learning - system learns to make decisions by performing actions and observing the results

Question 5

Application of Machine Learning

Answer 5

1. Personalized Recommendations
2. Fraud Detection
3. Natural Language Processing
4. Healthcare

Question 6

Convolutional Neural Networks (CNNs)

Answer 6

• a class of Neural Network that specialises in processing data that has a grid-like topology such as images
  3 LAYERS
  1. convolutional
  2. pooling
  3. fully connected

Question 7

Purpose and Applications of CNN

Answer 7

1. Image Classification
2. Object Detection and Localization
3. Image and Video Analysis
4. Facial Recognition
5. Medical Image Analysis
6. Autonomous Vehicles