Source code for "Practical Deep Learning: A Python-Based Introduction" You'll find the source code included or referenced in the book in this archive. The code is organized by chapter. If the chapter is not listed, there was no code to go with it. ...
Practical Deep Learning for Coders Material for my Proctor of Fast.AI's course. This course is originally done by Jeremy Howard and Rachel Thomas, and is taught at the University by course alumni. The course can be found here: https://course.fast.ai The Fast.AI forums can be found at:...
The main difference between traditional machine learning and deep learning algorithms is in the feature engineering. In traditional machine learning algorithms, we need to hand-craft the features. By contrast, in deep learning algorithms feature engineering is done automatically by the algorithm. Feature...
Ryan T. Whiteis a Ph.D. in Applied Mathematics. He works as a professor at Florida Institute of Technology and researcher working on authoring educational materials/graphics, financial modeling, statistical modeling, and data science with R, Python, Matlab, and LateX. ...
Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'...
主要内容涵盖柔性钢轨在Abaqus中的建模要点,如使用梁单元和截面属性模拟钢轨并生成带有微小弯曲的节点坐标;FBI文件的生成方法,包括从Abaqus导出inp文件并通过Matlab脚本转换为Simpack所需的fbi格式;钢弹簧浮置板的搭建,提供了模板代码用于设置弹簧和阻尼参数;以及轨道不平顺激励的生成,采用Python脚本基于德国低干扰谱生成随机...
MATLAB (https://github.com/xiaoxuefu/MET_methods/tree/main/1.%20Accuracy) and an R Shiny app version of the tool (https://john-franchak.shinyapps.io/Eye-Tracking-Accuracy-Calculator/). The spatial offset computation method is based on the definition described in Franchak and Yu (2022)....
内容概要:本文介绍了基于带外源输入的非线性自回归网络(NARX)的多变量时间序列预测模型及其在MATLAB中的实现方法。NARX模型能够处理具有外源输入的多变量时间序列问题,通过将系统当前状态视为历史状态和当前输入的非线性组合,从而对未来趋势进行预测。文中详细讲解了NARX模型的基本思想、应用场景,并提供了具体的MATLAB代码示...
github.com/Vadikus/practicalDL Class link: https://frontendmasters.com/courses/practical-machine-learning/ Educational materials for Frontend Masters course "A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras" Setup Prerequisite: Python To use Jupyter Notebooks on your computer - please...
timeseriesAI is a library built on top of fastai/ Pytorch to help you apply Deep Learning to your time series/ sequential datasets, in particular Time Series Classification (TSC) and Time Series Regression (TSR) problems.The library contains 3 major components:...