The objectives of the workshop is to understand the mathematical foundation and practical implementation of the deep learning techniques through the expert lectures and hands on sessions, led by academicians from the National Importance Institute and the from the best university of aboard . At the end of the program, the participants should be able to understand the mathematical foundation of the following topics:

• Perceptron
• Sigmoid neuron
• Feed-forward neural network
• Back-propagation
• Derivative of activation function
• Gradient descent - related issues
• Convolution neural network (CNN)
• Recurrent neural network (RNN)
• Long short term memory (LSTM)
• Auto-encoders