This course covers the information processing techniques inspired by the workings of biological neural networks, which provides solution to interrogatives that current linear systems are not able to resolve. With insights into the Biological neuron, knowledge on the diverse artificial neural networks, the student will be able to design and select suitable artificial neural network model for solving real world applications, and perform the required simulations and implementations.
On successful completion of this course, students will have:
a) Understand that current artificial neurons are simple abstractions of the biological neurons, realized as elements in a program or as circuits made of silicon.
b) Recognize that current artificial neural networks, although yet to come close to having a fraction of the power of the human brain, can be trained to perform useful functions.
c) Possess a good idea on diverse forms of artificial neural networks.
d) Understand the underlying principles, structures and operations of different artificial neural networks.
e) Supervised and Unsupervised learning. Design and select a suitable artificial neural network model for an application.
f) Understand what artificial neural network can do for you. Appreciate successful applications in the areas of pattern classification, function approximation and time series prediction.
|Date(s):||13 Aug 2018 to 07 Dec 2018|
|Time:||Refer to Class and Exam Schedules|
|Closing Date of Registration:||17 Jun 2018|
Full Course Fee :
Singapore Citizen /Singapore PR1 21 to 39 years old :
Singapore Citizen1 40 years or older2 :
Singapore Citizen1 Eligible for WTS3 :
Singapore PRs ≥ 21 years older
Enhanced Training Support for SMEs4 :
|Method of Payment|
|Withdrawal & Refund Policy|
|Once payment is made, applicant is committed to the completion of course. Course fee refunds will not be considered.|
|Terms and Conditions|
|At PaCE College, participants’ personal information is collected, used and disclosed for the following purposes: