Hanamaru 日本語にほんご × ML/AI
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Core Machine Learning Topics

Deep Learning

ディープラーニング

Deep learning uses neural networks with more than one hidden layer. During training, backpropagation computes the gradients needed to improve the network.

Japanese terms

  1. Deep learning — ディープラーニング: Machine learning based on neural networks with multiple learned representation layers.
  2. Hidden layer — 隠かくれ層そう: A neural-network layer located between the input and output layers.
  3. Backpropagation — 誤差逆伝播法ごさぎゃくでんぱほう: An algorithm that computes gradients by propagating output error backward through a neural network.

Machine learning is the broader field, while neural networks provide the main model family used in deep learning.