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This article first appeared in ai-exceptionAbstractAs we know, a well chosen initialization can speed up the convergence of gradient descent and increase the odds of gradient descent converging to a...

This article first appeared in ai-exceptionAbstractDeep Learning models have so much flexibility and capacity that overfitting can be a serious problem, if the training dataset is not big enough. Su...

This article first appeared in ai-exceptionIn this article, I will implement convolutional (CONV) and pooling (POOL) layers in numpy, including both forward propagation and backward propagation.Bef...

This article first appeared in ai-exceptionWelcome to Convolutional Neural Networks’s second article! In this article,I will:Implement helper functions that I will use when implementing a TensorFlo...

This article first appeared in ai-exceptionmatplotlib.plotplt.scatter()功能绘制点图源码def scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, ...

This article first appeared in ai-exceptionUntil now, I’ve always used Gradient Descent to update the parameters and minimize the cost. In this aricle, I will show more advanced optimization methods ...

This article first appeared in ai-exception​ From Planar data classification with one hidden layer and Logistic Regression with a Neural Network mindset ,we achieved the shallow neural network, to g...

This article first appeared in ai-exceptionFrom Logistic Regression with a Neural Network mindset, we achieved the Neural Network which use Logistic Regression to resolve the linear classification . ...

This article first appeared in ai-exceptionLogistic Regression with a Neural Network mindsetGeneral Architecture of the learning algorithmIt’s time to design a simple algorithm to distinguish cat i...

This article first appeared in ai-exceptionAbstractGradient Checking is a important method to verify whether our backpropagation code is correct or not. In this article, I will introduce the theory ...