All Projects → Derfei → catordog

Derfei / catordog

Licence: other
这是一个基于tensorflow和python的猫狗分类算法

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to catordog

time-series-classification
Classifying time series using feature extraction
Stars: ✭ 75 (+275%)
Mutual labels:  classification
Skin-Cancer-Segmentation
Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset
Stars: ✭ 61 (+205%)
Mutual labels:  classification
ugtm
ugtm: a Python package for Generative Topographic Mapping
Stars: ✭ 34 (+70%)
Mutual labels:  classification
BIRADS classifier
High-resolution breast cancer screening with multi-view deep convolutional neural networks
Stars: ✭ 122 (+510%)
Mutual labels:  classification
Metric Learning Adversarial Robustness
Code for NeurIPS 2019 Paper
Stars: ✭ 44 (+120%)
Mutual labels:  classification
textlearnR
A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
Stars: ✭ 16 (-20%)
Mutual labels:  classification
R-Machine-Learning
D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
Stars: ✭ 27 (+35%)
Mutual labels:  classification
machine learning from scratch matlab python
Vectorized Machine Learning in Python 🐍 From Scratch
Stars: ✭ 28 (+40%)
Mutual labels:  classification
verseagility
Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
Stars: ✭ 23 (+15%)
Mutual labels:  classification
NN-scratch
Coding up a Neural Network Classifier from Scratch
Stars: ✭ 78 (+290%)
Mutual labels:  classification
flexinfer
A flexible Python front-end inference SDK based on TensorRT
Stars: ✭ 83 (+315%)
Mutual labels:  classification
ml-competition-template-titanic
Kaggle Titanic example
Stars: ✭ 51 (+155%)
Mutual labels:  classification
Machine-Learning-Specialization
Project work and Assignments for Machine learning specialization course on Coursera by University of washington
Stars: ✭ 27 (+35%)
Mutual labels:  classification
TNCR Dataset
Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142
Stars: ✭ 37 (+85%)
Mutual labels:  classification
COVID-19-Tweet-Classification-using-Roberta-and-Bert-Simple-Transformers
Rank 1 / 216
Stars: ✭ 24 (+20%)
Mutual labels:  classification
MoeFlow
Repository for anime characters recognition website, powered by TensorFlow
Stars: ✭ 113 (+465%)
Mutual labels:  classification
newt
Natural World Tasks
Stars: ✭ 24 (+20%)
Mutual labels:  classification
knodle
A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
Stars: ✭ 76 (+280%)
Mutual labels:  classification
Loan-Approval-Prediction
Loan Application Data Analysis
Stars: ✭ 61 (+205%)
Mutual labels:  classification
Classification Nets
Implement popular models by different DL framework. Such as tensorflow and caffe
Stars: ✭ 17 (-15%)
Mutual labels:  classification
*******************************************************
作者: longxin
日期: 2016-3-17
版本号: 0.1
环境: python3.5 tensorflow
*******************************************************

功能介绍

在tensorflow框架下,我们构建了一个卷积神经网络用于分辨猫和狗的图片。此卷积神经网络主要包括三个卷积层,一个全连接层。输入格式为图片。

训练数据文件结构

-----train_data
--------dog.1.jpg
--------dog.2.jpg
--------dog.3.jpg
--------*********
--------cat.1.jpg
--------cat.2.jpg
--------cat.3.jpg
--------*********

测试数据文件结构

-----test_data
--------dog.1.jpg
--------dog.2.jpg
--------dog.3.jpg
--------*********
--------cat.1.jpg
--------cat.2.jpg
--------cat.3.jpg
--------*********

训练数据分享

http://pan.baidu.com/s/1i4DBjUH

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].