690 Open source projects that are alternatives of or similar to TensorFlow-Multiclass-Image-Classification-using-CNN-s

Binary Image Classification in TensorFlow

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

A UI tool for quickly training image classifiers in the browser

Chrome browser extension for using TensorFlow image recognition on web pages

How to use TensorLayer

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

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A tool for quickly training image classifiers in the browser

An AI based application to identify currency and gives audio feedback.

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Tensorflow 免费中文视频教程，开源代码，免费书籍.

This is where I put all my work in Natural Language Processing

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Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

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Tool to gather main colors of an image using Unity.

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Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

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Easily train an image classifier and then use it to label/tag other images

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

A Laravel Package/Facade for the AWS Rekognition API

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Player detection and ball detection in football matches using image processing(opencv).

Sorting my messed folder where I put my holidays pictures was not fun. My computer made the trick for me with Deep Learning!

A few TensorFlow techniques I'm saving for future reference.

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

A photo OCR project aims to output DMS messages contained in sign structure images.

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

An example for TensorflowSharp - classify an image as a dog or cat.

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

TensorFlow ImageNet demo using ROS sensor_msgs/Image

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

CNN image classifier implemented in Keras Notebook 🖼️.

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

[NeurIPS 2021] Global Filter Networks for Image Classification

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

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A machine learning exercise, using KNN to classify deforested areas

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Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)