Reduced rank regressionRidge regressionWe propose a framework for the linear prediction of a multi-way array (i.e., a tensor) from another multi-way array of arbitrary dimension, using the contracted tensor product. This framework generalizes several existing approaches, including methods to predict...
它的应用的官方视频教程的地址是https://developers.google.com/machine-learning/crash-course/ml-intro,虽然这个视频的覆盖面比较广,但是它也有几个最大的缺点:1,就像上面指出来的,它的教程是基于1.0版本的,如果你把它放到最新的TensorFlow中去运行,你会发现一大堆的错误;2,它的视频的内容深度很浅很浅,基本就...
import torch.nn as nn class Batch_Net(nn.Module): def __init__(self,in_dim,n_hidden_1,n_hidden_2,out_dim): super(Batch_Net,self).__init__() self.layer1=nn.Sequential(nn.Linear(in_dim,n_hidden_1),nn.BatchNorm1d(n_hidden_1),nn.ReLU(True)) self.layer2=nn.Sequential(nn.Li...
bias = linear_regressor.get_variable_value('linear/linear_model/bias_weights')# Get the predicted median_house_values for the min and max total_rooms values.y_0 = weight * x_0 + bias y_1 = weight * x_1 + bias# Plot our regression line from (x_0, y_0) to (x_1, y_1).plt...
LS-STM represents the first traceable and scalable decoder based on tensor computing, offering a novel approach to neural data analysis. The term “traceable" refers to LS-STM’s capability to identify and track the key neural channels that significantly influence decoding accuracy. The term “...
In this paper, we study the tensor-variate regression problems and propose its nonparametric extension, which we break a nonlinear relationship on high-dimensional tensors into simple local functions with incorporating low-rank tensor decompositions. Compared with the naive nonparametric approach, our ...
In this paper, we propose a tensor dimension reduction approach based on inverse regression, and we refer to it as T-IRE, which reduces the dimension of original array-valued predictors while simultaneously retaining the structural information within predictors and the proposed method also provides ...
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. pythondata-sciencemachine-learningstatisticsresearchdeep-learningneural-networkgpuoptimizationscikit-learnpytorcheconometricsdata-analysistensorregression-modelsstatsmodels ...
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. - tensor2tensor/tensor2tensor/models/transformer.py at c8fe559e0b357389d8754474e1306b6ca9afc4f3 · tensorflow/tensor2tensor
Tensor regression sets up a multilinear mapping from a tensor input to a tensor output with a tensor system. As a tensor extension for linear regression, it has wide applications in various multidimensional data processing areas, such as weather forecasting, recommender systems, image prediction, bra...