カテゴリー
機械学習

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 […]

カテゴリー
機械学習

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 […]

カテゴリー
機械学習

DL [Course 2/5] Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization [Week 3/3] Hyperparameter tuning, Batch Normalization and Programming Frameworks

Key Concepts Master the process of hyperparameter tuning [mathjax]\(\require{cancel}\) Improving Deep Neural N […]

カテゴリー
機械学習

DL [Course 2/5] Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization [Week 2/3] Optimization algorithms

Key Concepts Know the benefits of learning rate decay and apply it to your optimization Remember different opt […]

カテゴリー
機械学習

DL [Course 2/5] Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization [Week 1/3] Practical aspects of Deep Learning

Key Concepts Use gradient checking to verify the correctness of your backpropagation implementation Understand […]

カテゴリー
機械学習

Machine Learning [Week 04/11] Neural Networks: Representation

[mathjax]Machine Learning (Stanford University) の受講メモ 内容 Neural network forward propagation Multiple classific […]

カテゴリー
機械学習

DL [Course 1/5] Neural Networks and Deep Learning [Week 4/4] Deep Neural Networks

Key Concepts Understand how to use a cache to pass information from forward propagation to back propagation. B […]

カテゴリー
機械学習

Machine Learning [Week 03/11] Logistic Regression

[mathjax] Machine Learning (Stanford University) の受講メモ Classification and Representation Classification T […]

カテゴリー
機械学習

DL [Course 1/5] Neural Networks and Deep Learning [Week 3/4] Shallow neural networks

Key Concepts Be able to apply a variety of activation functions in a neural network. Become fluent with Deep L […]

カテゴリー
機械学習

DL [Course 1/5] Neural Networks and Deep Learning [Week 1,2/4] Introduction to deep learning / Neural Networks Basics

Key Concepts(week1) Be able to explain how deep learning is applied to supervised learning. Understand what ar […]