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深層学習

メモ:医学論文の自動仕分けチャレンジ

Systematic Review https://signate.jp/competitions/471 from the findings of the prizewinners 入賞者の方々のプレゼンからのメモです […]

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深層学習

DL [Course 5/5] Sequence Models [Week 3/3] Sequence models & Attention mechanism

Various sequence to sequence architectures Basic Models Sequence to sequence model \(x\): Jane visite l’ […]

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深層学習

DL [Course 5/5] Sequence Models [Week 2/3] Natural Language Processing & Word Embeddings

Introduction to Word Embeddings Word Representation Word representation \[V=[a,aaron,…,zulu,<UNK>] […]

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深層学習

DL [Course 5/5] Sequence Models [Week 1/3] Recurrent Neural Networks

Why sequence models Examples of sequence data Speech recognition x: wave🌊 y: “The quick brown fox jumped […]

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深層学習

DL [Course 4/5] Convolutional Neural Networks [Week 4/4] Special applications: Face recognition & Neural style transfer

[mathjax] Face Recognition What is face recognition? Face verification vs. face recognition Verification Input […]

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深層学習

DL [Course 4/5] Convolutional Neural Networks [Week 3/4] Object detection

Key Concepts Remember the vocabulary of object detection (landmark, anchor, bounding box, grid, …) Under […]

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深層学習

DL [Course 4/5] Convolutional Neural Networks [Week 2/4] Deep convolutional models: case studies

Key Concepts Understand and Implement a Residual network Clone a repository from github and use transfer learn […]

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深層学習

DL [Course 4/5] Convolutional Neural Networks [Week 1/4] Foundations of Convolutional Neural Networks

Key Concepts Understand the convolution operation Understand the pooling operation Remember the vocabulary use […]

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深層学習

DL [Course 3/5] Structuring Machine Learning Projects [Week 2/2]

Key Concepts Understand what multi-task learning and transfer learning are Recognize bias, variance and data-m […]

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深層学習

DL [Course 3/5] Structuring Machine Learning Projects [Week 1/2]

Key Concepts Apply satisficing and optimizing metrics to set up your goal for ML projects Take the correct ML […]