Deep Learning
(การเรียนรู้เชิงลึก)
Definition
Deep Learning (การเรียนรู้เชิงลึก) Hard Skill
Deep Learning is a subset of machine learning involving neural networks with multiple layers that can automatically learn representations from data to perform tasks such as classification, recognition, and prediction.
Expertise Level
Level 1
Basic
1. Understands fundamental concepts of neural networks and deep learning.
2. Can explain common architectures like feedforward neural networks and simple CNNs.
3. Familiar with basic deep learning frameworks and tools.
Level 2
Intermediate
1. Can build and train deep learning models for various tasks using libraries like TensorFlow or PyTorch.
2. Understands and applies advanced architectures such as RNNs, LSTMs, and transfer learning.
3. Able to preprocess and handle complex datasets for model training.
Level 3
Advanced
1. Designs and optimizes complex deep learning architectures tailored for specific problems.
2. Implements cutting-edge techniques such as generative adversarial networks (GANs) and attention mechanisms.
3. Conducts in-depth research and experimentation to improve model performance and generalization.
Ministry of Higher Education
Science, Research and Innovation
Call Center 1313
328 Si Ayutthaya Rd., Thung Phaya Thai, Ratchathewi, Bangkok 10400 Tel. 02-610-5200 Fax. 02-354-5524.
Copyright © 2025 Skill Mapping.
This website is an official government agency site under the Office of the Permanent Secretary, Ministry of Higher Education, Science, Research and Innovation. It is established with the aim of improving the quality of management in the Office of the Permanent Secretary to meet public sector management standards, and is not intended for profit. If you find any information on this website that infringes intellectual property rights, please notify us so we can resolve the issue as soon as possible.