The differences between Machine Learning and Deep Learning, and Deep Learning models and applications. For more details, please read on
The difference between Machine Learning and Deep Learning
The professor recommended the following deep learning models and applications:
Supervised Models
- Classic Neural Networks (Multilayer Perceptrons)
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
Unsupervised Models
- Self-Organizing Maps (SOMs)
- Restricted Boltzmann machine
- AutoEncoders
The professor introduced an example of an AI project using deep learning technology to find a suitable model for predicting diabetic retinopathy images
Speaker: Dr. Pairasan Padungwiang,
R&D BI Co., Ltd.
Compiled by: Nuchanat Rongrong
www.rdbi.co.th
#Consultants
#Data Scientist
#Big Data Analytics
#Deep Learning
#Machine Learning
#AI
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