By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts ...
By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts ...
还开始研究一系列开源模型(包括各自对应的模型架构、训练方法、训练数据、本地私有化部署、硬件配置要求、微调等细节)该项目部分一开始是作为此文《》的第4部分,但但随着研究深入 为避免该文篇幅又过长,将把『第...
LLMs之Grok-1:Grok-1的简介、安装、使用方法之详细攻略 目录 Grok-1的简介 Grok-1的安装 ...2024年3月17日(当地时间),马斯克的AI创企xAI重磅发布了Grok-1的基础模型权重和网络架构,这是一款大型语言模型。...
By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts ...
自然语言处理NLP中的N-gram模型 自然语言处理NLP中的N-gram模型 Naive Bayes N-gram N-gram简介 N-gram中的概率计算 N-gram的用途 用途一:词性标注 用途二:垃圾短信分类 用途三:分词器 ......
Part 1:Python Basics with Numpy (optional assignment) Part 2: Logistic Regression with a Neural Network mindset
今天给大家介绍下在ubuntu14.04中安装scikit-neuralnetwork:(安装流程为从顶层向下安装,顶层包需要下层什么样的包就再补安装什么样的包去满足顶层包的需要环境,这样安装的成功率会很高),另外需要有耐心去查看...
neural-style模型是一个风格迁移的模型,是GitHub上一个超棒的项目,那么什么是风格迁移,我们来举一个简单的例子: 这里,我选择了将梵高的画风和我们的东北大学的工学馆相结合,让工学馆融入了梵高的星空效果图...
5. Transformer-TTS: Neural Speech Synthesis with Transformer Network 文章于2019年1月发表 Transformer-TTS可以看做Tacotron2+transformer的组合,作者认为优点主要为: 通过移除RNN结构实现并行训练,因为...
subword-nmt干啥用的 解决未登录词问题的一种方法。 在做nlp的时候,很多时候我们会对语料做一个预处理,生成语料的一个字典。为了不让字典太大,我们通常只会把出现频次大于某个阈值的词丢到字典里边,剩下所有的词...
文章作者:Tyan 博客:noahsnail.com  |  CSDN  |  简书 ...声明:作者翻译论文仅为学习,如有侵权请联系作者删除博文,谢谢!...Faster R-CNN: Towards Real-Time ...
在ORB-SLAM2的基础上进行语义地图的构建。
人脸识别Face Recognition for the Happy Housefrom keras.models import Sequential from keras.layers import Conv2D, ZeroPadding2D, Activation, Input, concatenate from keras.models import Model ...
High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network Abstract1. Introduction2. Methodology2.1.Dataset2.2 G-CNN2.3. Model2.4. Anchor Box2.5.Evaluation Indicator3. Experi...
@article{DBLP:journals/remotesensing/YaoLFSLMYZ21,author = {Yuan Yao andYee Leung andTung Fung andZhenfeng Shao andJie Lu andDeyu Meng andHanchi Ying andYu Zhou},title = {Continuous Multi-Angle...
Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. Despite their popularity, most approaches ...
%% Machine Learning Online Class - Exercise 4 Neural Network Learning % Instructions % ------------ % % This file contains code that helps you get started on the % linear exercise. You