Feature extraction using Keras with the VGG, Inception and ResNet architectures
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Updated
Jul 20, 2019 - Python
Feature extraction using Keras with the VGG, Inception and ResNet architectures
A model inspired by inception v1 for classification of bird species
This repository contains the implementation of the Inception model from scratch and the pretrained V3 model, both used on the flower dataset.
Creating a Sequential CNN model to classify images of various datasets and comparing the results to pretrained models (VGG16 and Inception V3). A dashboard design for the CNN model for the prediction
Multi-class Segmentation Examples with U-Net.
This implements training of Deep NU-InNet from Accuracy improvement of Thai food image recognition using deep convolutional neural networks by Chakkrit Termritthikun and Surachet Kanprachar.
Attempts to solve a Kaggle competition using a convolutional neural network in tensorflow with the inception architecture.
Classify gender based on face image.
Deep Learning Implementations
This repository is based on a project completed as part of the Deep Learning Specialization on Coursera by DeepLearning.AI.
Whales swimming in the beautiful world of the localhosts
CNN to classify leaves and illnesses
42 | Starter template for a wordpress / php / ngnix website with dockers
Implementation of pre-trained architectures ranging from LeNet-5 to Inception
Face recognition system using FaceNet and OpenCV.
We are going to use inception v3 for mobile manufacture image based classification.
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