CNNの構造を理解し、各層の役割と層間のデータの流れについて理解する。 画像認識はディープラーニングで大きな成功を収め最も研究が盛んな分野です。ディープラーニングで画像データを扱うときには畳み込みニューラルネットワーク（Convolutional Neural ...

Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...

In this section, I'd like to discuss potential issues with deep networks, specifically vanishing gradients. I will also be mentioning the possible solutions for this, residual connections and batch ...

Abstract: As one of the most commonly used neural network models, the lightweight convolutional neural network has been widely adopted in the field of object detection, pattern recognition and so on.

Abstract: In this work, we propose a multiplication-less deep convolution neural network, called BD-NET. As far as we know, BD-NET is the first to use binarized depthwise separable convolution block ...