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 […]
Key Concepts Apply satisficing and optimizing metrics to set up your goal for ML projects Take the correct ML […]
Key Concepts Master the process of hyperparameter tuning [mathjax]\(\require{cancel}\) Improving Deep Neural N […]
Key Concepts Know the benefits of learning rate decay and apply it to your optimization Remember different opt […]
Key Concepts Use gradient checking to verify the correctness of your backpropagation implementation Understand […]
[mathjax]Machine Learning (Stanford University) の受講メモ 内容 Neural network forward propagation Multiple classific […]
Key Concepts Understand how to use a cache to pass information from forward propagation to back propagation. B […]
[mathjax] Machine Learning (Stanford University) の受講メモ Classification and Representation Classification T […]
Key Concepts Be able to apply a variety of activation functions in a neural network. Become fluent with Deep L […]