All Projects → abhaybd → Cat-Dog-CNN-Classifier

abhaybd / Cat-Dog-CNN-Classifier

Licence: MIT License
Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Cat-Dog-CNN-Classifier

stg
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
Stars: ✭ 47 (+176.47%)
Mutual labels:  classification
projection-pursuit
An implementation of multivariate projection pursuit regression and univariate classification
Stars: ✭ 24 (+41.18%)
Mutual labels:  classification
Image-Denoising-with-Deep-CNNs
Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures
Stars: ✭ 54 (+217.65%)
Mutual labels:  convolutional-neural-network
CNN-SoilTextureClassification
1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
Stars: ✭ 35 (+105.88%)
Mutual labels:  classification
mri-deep-learning-tools
Resurces for MRI images processing and deep learning in 3D
Stars: ✭ 56 (+229.41%)
Mutual labels:  classification
text2class
Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
Stars: ✭ 15 (-11.76%)
Mutual labels:  classification
Python-Machine-Learning-Fundamentals
D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
Stars: ✭ 46 (+170.59%)
Mutual labels:  classification
AdaptiveRandomForest
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
Stars: ✭ 28 (+64.71%)
Mutual labels:  classification
coursera-ai-for-medicine-specialization
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
Stars: ✭ 80 (+370.59%)
Mutual labels:  convolutional-neural-network
data-science-notes
Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Stars: ✭ 52 (+205.88%)
Mutual labels:  classification
Skin-cancer-recoginition
Recognizing and localizing melanoma from other skin disease
Stars: ✭ 28 (+64.71%)
Mutual labels:  classification
shellnet
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Stars: ✭ 80 (+370.59%)
Mutual labels:  classification
serverless-transformers-on-aws-lambda
Deploy transformers serverless on AWS Lambda
Stars: ✭ 100 (+488.24%)
Mutual labels:  classification
well-classified-examples-are-underestimated
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
Stars: ✭ 21 (+23.53%)
Mutual labels:  classification
clana
CLANA is a toolkit for classifier analysis.
Stars: ✭ 28 (+64.71%)
Mutual labels:  classification
Preprocessing-Method-for-STEMI-Detection
Official source code of "Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG"
Stars: ✭ 12 (-29.41%)
Mutual labels:  convolutional-neural-network
Python-Machine-Learning
Python Machine Learning Algorithms
Stars: ✭ 80 (+370.59%)
Mutual labels:  classification
CvT
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Stars: ✭ 262 (+1441.18%)
Mutual labels:  classification
ruimtehol
R package to Embed All the Things! using StarSpace
Stars: ✭ 95 (+458.82%)
Mutual labels:  classification
wymlp
tiny fast portable real-time deep neural network for regression and classification within 50 LOC.
Stars: ✭ 36 (+111.76%)
Mutual labels:  classification

Cat-Dog-CNN-Classifier

Convolutional Neural Network to classify images as either cat or dog. Written in python with keras.

Trained with keras using tensorflow backend.

localization.py uses a heatmap to figure out where the classified object is in the image, and draws the bounding box over the image.

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].