simple transfer learning example form Inceptoinv3
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Updated
Jul 23, 2017 - Python
simple transfer learning example form Inceptoinv3
Object Classification using CoreML
Scraping prices from web and clustering images to fit price categories.
Kaggle-bottle-classification
Generate an Image with the Same "Content" As a Base Image, But with the "Style" of a Different Picture
The model which classifies given image into any of 12 organs(Brain, Chest, Colon, Bladder, Cervix,Prostate, Soft Tissue,Esophagus,Lymph Nodes, Pancreas,Eye) and detects cancer for Brain and Breast
This complete project is made as a part of Data Science Internship at iNeuron.ai Refer to the README for more detailed explanation about the project!
A ML model which helps the differently abled people(i.e, deaf , dumb & blind) to communicate
Blindness Detection - Machine Learning Model for Diabetic Retinopathy Patients
Accurate image classification powered by InceptionV3 deep learning model. Quickly classify diverse images with high precision using TensorFlow.
Simple Example of Image Recognition
Using transfer learning to predict if there exists a cotton disease in the plant or not. The best were the inceptionv3 model and the ResNet50 model and then finally made a model for the web using flask for an end-to-end deployment of this project.
A Artifitial Intelligent Securtiy system that detects humans using a camera and beeps an alarm .
Here is an implementation of InceptionV3 and VGG-16 models in Python from scratch. These models were then trained on a dataset of handwritten alphabets. An experiment was carried out to achieve higher accuracy by using different combinations of optimizers and learning rates. These models were then compared to the inbuilt models in Python.
Smart bike using deep learning and iot
an implementation of the Convolutional Neural Network model and Transfer Learning (InceptionV3) model to classify horse or human images.
Food Crop disease detection model using InceptionV3 architecture
Jupyter notebook was made for doing machine learning which classify images
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