Artificial Neural Networks
(โครงข่ายประสาทเทียม)
Definition
Artificial Neural Networks (โครงข่ายประสาทเทียม) Hard Skill
Artificial Neural Networks are computational models inspired by the human brain's network of neurons, designed to recognize patterns, learn from data, and solve complex problems through interconnected processing nodes.
Expertise Level
Level 1
Basic
1. Understands the basic structure and purpose of neural networks.
2. Can explain neurons, layers, and activation functions.
3. Familiar with simple feedforward neural networks.
Level 2
Intermediate
1. Can build and train neural networks using common frameworks.
2. Understands backpropagation and gradient descent optimization.
3. Able to tune hyperparameters for model improvement.
Level 3
Advanced
1. Designs and implements complex architectures such as CNNs and RNNs.
2. Optimizes neural networks for specific applications and large-scale data.
3. Contributes to research or develops novel neural network algorithms.
