Using Deep Learning techniques, I have classified a fashion immanence data into 10 labels.
The global fashion industry is valued at three trillion dollars and accounts for 2 percent of the world's GDP.The fashion industry is undergoing a dramatic transformation by adopting new computer vision and machine learning and deep learning techniques.
In this case study we'll look at a hypothetical situation. We assume that if a retailer hired you to build a virtual stylist assistant that looks at customer Instagram, the virtual assistant can help the retailer detect and forecast fashion trends and launch targeted marketing campaigns.
In this story we're going to use the fashion immanence data.It's a data set that contains images of bags shoes and dresses.And we're asking the deep network to classify the images into 10 classes.