Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC). It is written in C++ and has Python and Matlab bindings. There are 4 steps in training a CNN using Caffe:Step 1 - Data preparation: In this step, we clean the images and store them in a ...
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'...
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. ...
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)....
Figure 3A is plotted using the MATLAB toolbox timevp (https://github.com/xiaoxuefu/timevp; Yu et al., 2012) to show how an individual child's AOI look- ing events and parenting behavior co-evolve during the task. It shows that there are more teaching behaviors...
You’ll begin this exciting journey by learning how to build the kernel from source. In a step by step manner, you will then learn how to write your first kernel module by leveraging the kernel’s powerful Loadable Kernel Module (LKM) framework. With this foundation, you will delve into ...
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. All the code is Python 3.X and req...
We offer a wide range of projects that cater to various interests and expertise within machine learning and finance. Some of the exciting recent projects include: Predictive Modeling with GitHub Logs: Develop models to predict market trends and investment opportunities using GitHub activity and develope...
Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where do I begin? This step-by-step guide teaches you how to build practical deep learn...