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◈ EN | JP ◆

Lesson 10    ❮    Lesson List    ❮    Top Page


◆  Intro to Deep Neural Network


◈  Training Neural Network


◆  Improving Neural Network


⟐  Implementation

For more information, see also the following links!

▎ENGLISH

Introduction to optimizers
▸ https://algorithmia.com/blog/introduction-to-optimizers

Intuition of Adam Optimizer
▸ https://www.geeksforgeeks.org/intuition-of-adam-optimizer/?ref=lbp

Difference Between a Batch and an Epoch in a Neural Network
▸ https://machinelearningmastery.com/difference-between-a-batch-and-an-epoch/

▎日 本 語

スーパーわかりやすい最適化アルゴリズム
▸ https://qiita.com/omiita/items/1735c1d048fe5f611f80

機械学習/ディープラーニングにおけるバッチサイズ、イテレーション数、エポック数の決め方!
▸ https://qiita.com/kenta1984/items/bad75a37d552510e4682

目的関数、コスト関数、誤差関数、損失関数いろいろあるけど、なにが違うのかを検討 ▸ https://qiita.com/kakiuchis/items/5cfe52e6f75dd75f96e7

©2023. All rights reserved.  Samy Baladram,
Graduate Program in Data Science - GSIS - Tohoku University
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