WebData Analyst with Data Science background, Machine Learning engineer and Python developer. I hold a bachelor in Software Engineering and a master in Artificial Intelligence. My interest domains cover database design and querying, data manipulation and ETL pipelines scripting, data visualization, Machine Learning (Logistic/Linear regression, … Web11 mei 2024 · This paper studies a novel recurrent neural network (RNN) with hyperbolic secant (sech) in the gate for a specific medical application task of Parkinson’s disease (PD) detection. In detail, it focuses on the fact that patients with PD have motor speech disorders, by converting the voice data into black-and-white images of a recurrence plot (RP) at …

Kevin Zakka

WebAlzheimer’s Disease (AD) is one of the most devastating neurologic disorders, if not the most, as there is no cure for this disease, and its symptoms eventually become severe enough to interfere with daily tasks. The early diagnosis of AD, which might be up to 8 years before the onset of dementia symptoms, comes with many promises. To this end, we … Web6 apr. 2024 · aligning CNN layers for domain adaptation, w e believe that as the earlier CNN layers capture the domain-inv ariant features, the later layers should be aligned. Adversarial: The adversarial ... radko russian santa

[cs231n] Lecture6, Training Neural Networks, Part I

Web各位同学好，最近学习了cs231n斯坦福计算机视觉公开课，讲的太精彩了，和大家分享一下。1. 权重初始化神经网络中的所有权重都能通过梯度下降和反向传播来优化和更新。现在问题来了，如果每一层的权重全部初始化为同一个常数，不同层的常数可以不一样，会发生什么 … Web10 sep. 2024 · 这里我们跟着实验来完成Spatial Batch Normalization和Spatial Group Normalization，用于对CNN进行优化。 ... Spatial Group Normalization可看作解决Layer Normalization在CNN上的表现不能够像Batch Normalization ... 深度学习 神经网络 学习 笔记 卷积神经网络 CNN cs231n. WebIn contrast to layer normalization, group normalization splits each entry in the data into G contiguous pieces, which it then normalizes independently. Per feature shifting and … radl johanna