See also DL [Course 2/5] Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimizatio […]
タグ: machinelearning
See also DL [Course 1/5] Neural Networks and Deep Learning [Week 1,2/4] Introduction to deep learning / Neural […]
Various sequence to sequence architectures Basic Models Sequence to sequence model \(x\): Jane visite l’ […]
Introduction to Word Embeddings Word Representation Word representation \[V=[a,aaron,…,zulu,<UNK>] […]
Why sequence models Examples of sequence data Speech recognition x: wave🌊 y: “The quick brown fox jumped […]
[mathjax] Face Recognition What is face recognition? Face verification vs. face recognition Verification Input […]
Key Concepts Remember the vocabulary of object detection (landmark, anchor, bounding box, grid, …) Under […]
Key Concepts Understand and Implement a Residual network Clone a repository from github and use transfer learn […]
Key Concepts Understand the convolution operation Understand the pooling operation Remember the vocabulary use […]
Key Concepts Understand what multi-task learning and transfer learning are Recognize bias, variance and data-m […]