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对deep learning的第一周调研

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吴恩达《深度学习》-课后测验-第二门课 (Improving Deep Neural Networks:Hyperparameter tuning, Regularization and Optimization)-Week 1 - Practical aspects of deep learning（第一周测验 - 深度学习的实践）

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课程一(Neural Networks and Deep Learning)，第一周（Introduction to Deep Learning）—— 1、经常提及的问题

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课程一(Neural Networks and Deep Learning)，第一周（Introduction to Deep Learning）—— 0、学习目标

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课程一(Neural Networks and Deep Learning)，第一周（Introduction to Deep Learning）—— 2、10个测验题

1.What does the analogy “AI is the new electricity” refer to?  (B) A. Through the “smart grid”, AI is delivering a new wave of electricity. B. Similar to electricity starting about 100 years ago, AI is transforming multiple industries. C. AI is power…

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课程一(Neural Networks and Deep Learning)，第二周（Basics of Neural Network programming）—— 3、Python Basics with numpy (optional)

Python Basics with numpy (optional)Welcome to your first (Optional) programming exercise of the deep learning specialization. In this assignment you will: - Learn how to use numpy. - Implement some basic core deep learning functions such as the softm…

吴恩达《深度学习》-第一门课 (Neural Networks and Deep Learning)-第三周：浅层神经网络(Shallow neural networks) -课程笔记

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课程一(Neural Networks and Deep Learning)，第二周（Basics of Neural Network programming）—— 0、学习目标

1. Build a logistic regression model, structured as a shallow neural network2. Implement the main steps of an ML algorithm, including making predictions, derivative computation, and gradient descent.3. Implement computationally efficient, highly vect…