Trabajo fin Programa Experto en Big Data: Procesar set de imágenes de MIRFLICKR en Spark TendorFlow Inception y entrenar modelo para inferencia de etiquetas. Clasificación de imágenes subidas a Twitter con Storm.

App using CoreML & Inception v3 Model, inspired by one of the episodes pf the HBO series 'Silicon Valley'.*studies project from The Complete iOS Development Bootcamp*

The dataset, provides 18000 images of 50 animal classes with pre-extracted feature representation for each image. The challenge was to build prediction models that can identify all the attributes associated with each animal.

This repository contains the overview of all the approaches that we are applying in order to detect Fraud

The system effectively classifies different types of graphs using a CNN model, and writes short summary about graph in a clear and concise paragraph-like format.

This project is a web application designed to detect deepfake videos using advanced machine learning techniques. The backend is powered by a pre-trained model that leverages Convolutional Neural Networks (CNNs) with InceptionV3 architecture and Recurrent Neural Networks (RNNs) utilizing Gated Recurrent Units (GRUs).

官方所有Models实现

CNN Image classifier using InceptionV3 and ResNet for a t-shirt images.

A comparative study for skin lesion segmentation and melanoma detection where deep learning methods can perform very well without complex pre-processing techniques except for normalization and augmentation.

A system to recognize food items from uploaded images and suggest nearby restaurants serving them

InceptB: Traditional Bengali games Data-set.

Creating and training an Inception architecture from scratch using pytorch.

Video-based surgical skill assessment using 3D convolutional neural networks

The project is based on the trained Generative Adversarial Network (GAN) of World of Warcraft (WoW) icons that generates new stylized art using the Google Deep Dream algorithm and Gradient Ascent. We then used a trained food classifier using the Inception V3 model and applied it to classify the resulting Deep Dreamed images of WoW art. We show t…

Image Classification with Inception V3

Modified an inception model and trained it on 10K pictures to colorize grayscale images.

A deep learning model to generate captions for images. Flickr 8K dataset is used for training of this model. This project uses a CNN model for feature extraction. These features are converted to image captions by RNN.

Transfer Learning based Brain Tumor Classification system made using Inception V3 architecture.