pytorch机器学习PyTorch : It is an open source machine learning library based on the Torch library (which is based on Lua Programming Language), developed by Facebook’s AI Research lab. PyTorch:这是一个基于Torch

pytorch线性回归For all those amateur Machine Learning and Deep Learning enthusiasts out there, Linear Regression is just the right way to kick start your journey. If you are new to Machine Learning with s

神经网络优化器的选择When constructing a neural network, there are several optimizers available in the Keras API in order to do so. 在构造神经网络时，Keras API中提供了多个优化器来实现。An optimizer is used to minimise the loss of a..

pytorch卷积可视化Filter and Feature map Image by the author 筛选和特征图作者提供的图像 When dealing with image’s and image data, CNN are the go-to architectures. Convolutional neural networks have proved to provide man

Overfitting is an issue that occurs when a model shows high accuracy in predicting training data (the data used to build the model), but low accuracy in predicting test data (unseen data that the mode

深度学习 正则化 正则化率 介绍： (Introduction:)The key role of Regularization in deep learning models is to reduce overfitting of data. It makes the network simple resulting in generalization on data points never .

手语识别TL;DR It is presented a dual-cam first-vision translation system using convolutional neural networks. A prototype was developed to recognize 24 gestures. The vision system is composed of a head-mo

泰坦尼克数据集预测分析Imagine your group of friends have decided to spend the vacations by travelling to an amazing destination. And you have been given the responsibility to find one. Interesting? However inter

算法竞赛训练指南代码仓库 重点 (Top highlight)As a data scientist, it’s valuable to have some idea of fundamental data warehouse concepts. Most of the work we do involves adding enterprise value on top of datasets t

Using Deep Neural Networks for regression problems might seem like overkill (and quite often is), but for some cases where you have a significant amount of high dimensional data they can outperform an