deeplearning.ai 笔记 Specialization 1 week 2 Python and Vectorization broadcasting in Python:b是一个实数,但是和矩阵相加的时候会自动扩展为一个行向量。 红圈(下面的两个)即实现m个样本的正向传播。 Vectorizing Logistic Regression's Gradient Output 向量化逻辑回归的实现: 将逻辑回归向量化的过程,将两个for...
deeplearning.ai 笔记 Specialization 1 week 2 Python and Vectorization Regression's Gradient Output向量化逻辑回归的实现: 将逻辑回归向量化的过程,将两个for循环都去掉了,虽然说尽量去掉for循环有利于代码的执行速度,但是迭代次数的for循环是去不掉...表示计算竖直方向(也就是一列)的值,对应axis=1代表的是水平方...
% TODO: Compute the linear regression objective by looping over the examples in X. % Store the objective function value in 'f'. % % TODO: Compute the gradient of the objective with respect to theta by looping over % the examples in X and adding up the gradient for each example. Store ...
更改train.m的参数设置 visibleSize =28*28; %number of input units hiddenSize=196; %number of hidden units sparsityParam=0.1; %desired average activation of the hidden units.% (This was denoted by the Greek alphabet rho, which looks like a lower-case"p",%inthe lecture notes). lambda= 3e...
2 还有从旧教程http://deeplearning.stanford.edu/wiki/index.php/Exercise:Softmax_Regression 学了 % M is the matrix as described in the text M = bsxfun(@rdivide, M, sum(M)) 1. 2. 3 新教程学到了 I=sub2ind(size(A), 1:size(A,1), y); ...
In this chapter, we address this gap by reviewing novel unsupervised algorithms for learning and applying semantic vector embeddings in a variety of distributed settings. Specifically, for scenarios where multiple edge locations can engage in joint learning, we adapt the proposed federated learning techn...
Every Bit Counts: Using Deep Learning and Vectorization to Analyze Healthcare Big DataThe rapid digitization of healthcare has generated large volumes of rich and complex data from sources such as claims and electronic health records. Traditional...
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular...
As described in the previous section, our model employs the 2-dimensional domain decomposition on the sphere. If we vectorize our code along one of the horizontal directions, the vector length is too short to calculate efficiently. Therefore, for each of regions, the data structure of 2-dimensi...
1.A word vectorization model learning device comprising:a learning part for learning a word vectorization model by using a vector wL,s(t) indicating a word yL,s(t) included in learning text data, and an acoustic feature amount afL,s(t) that is an acoustic feature amount of speech data ...