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Defence and Security
Event Brief

This 3-day course provides a broad introduction to classical neural networks (NN) and its current evolution to deep learning (DL) technology. This course introduces the well-known deep learning architectures and their applications in defense and security for object detection, identification, verification, action recognition, scene understanding, object spoofing and biometrics using a single modality or multimodality sensor information.  This course will describe the history of neural networks and its progress to current deep learning technology. It covers several DL architectures such the classical multi-layer feed forward neural networks, convolutional neural networks (CNN), generative adversarial networks (GAN), restricted Boltzmann machines (RBM), Radial Bases Functions (RBF), Self-organizing Feature Maps, learning vector quantization, auto-encoders and recurrent neural networks such as long term short memory (LSTM).

Course Objective
  • Fundamental concepts of neural networks and deep learning architectures.
  • Stochastic gradient descent algorithm to train deep learning networks
  • The popular CNN-based architectures (i.e., LeNet, AlexNet, VGGNet, GooGleNet, ResNet).
  • Relative merits of various deep learning architectures, MLP, CNN, GAN, RBM and LSTM.
  • Auto-encoders for feature extraction. Generative adversarial networks for object synthesis.
  • Deep learning framework for object, pedestrian detection, face, iris, fingerprint identification.
  • Siamese and coupled deep learning architectures for cross-modal object  verification & identification.
  • Deep learning architectures for multi-view face identification and multimodal biometrics applications. 
Course Agenda

For more details on course agenda, please click here

Who Should Attend

The course is for research scientists, engineers, technicians, or managers who wish to learn more about deep learning architectures and their applications in commercial, defense and security.

Training Venue
To be updated
Contact Us

For more information about the event, please contact +65 8363 3065 or email marketing@k2binternational.com

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What past delegates said about our past training courses?

The trainer is very knowledgeable and the materials was very well organized and delivered. We have gained a comprehensive understanding in radar system for radar application. Thanks a lot!.”

Senior Member of Technical Staff, DSO National Laboratories

Radar Systems Design and Engineering, July 2012


K2B International has a good selection of trainer. The trainer is knowledgeable and his presentation was clear.”

Research Engineer, Electronic Systems Division, DSO National Laboratories

Radar Systems Design and Engineering, July 2012


The course was well presented and the trainer showed good knowledge of topics.”

Senior Software Engineer, ST Aerospace

Radar Signal Processing 2010