Building a Deep Learning Model for Intent Classification Photo by Jakub Jezovic 🦔 on Dribbble What is intent? Intent is the aim behind a specific action or set of actions. Aim To develop a Deep Learning Model for Intent Classification using Python programming Language and Keras on Cainvas Platform. Prerequisites Before getting started, you should have […]
Intent Classification using LSTM Read More »
Predicting whether a given company is under financial distress or not based on time-based data for different companies. Photo by Shunya Koide on Dribbble The financial stability of a company is dependent on various factors. Predicting financial distress is necessary to take appropriate steps to manage the situation and get the company back on track. In
Financial distress prediction — on cAInvas Read More »
Photo by Mario Jacome on Dribbble The main goal of this post is to detail my development of a model for doing predictive maintenance on commercial turbofan engines. The predictive maintenance method utilized here is a data-driven method, which means that data from the operating jet engine is used to simulate predictive maintenance. The project’s goal
Prediction of Remaining Useful Life (RUL) of JET engine Read More »
Photo by Infographic Paradise Design on Dribbble This article presents a guide to Neural Style Transfer using Deep Learning. Neural Style Transfer is a technique of composing images in the style of another image. Neural Style Transfer takes three images as input, namely the image you want to stylise: the Content Image, a Style image, and
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Photo by Beethowen Souza on Dribbble Why building a model for defect detection? Some would say that because after all, we can see it with our own eyes. Let me guide you through “Why”. Here are the reasons: Not everything goes through the inspector’s eye. Saving consumption of power on wasted material. Add a middle layer
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Photo by Benny on Dribbble Can you predict the success of a song, just by listening to it? I know! at least we try to do it many times, and a lot of times our predictions do turn out to be true. While we do consider many things and most importantly the emotions involved. Can we
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Photo by Lewis Osborne on Dribbble Human beings do have a lot of emotions and we as humans are able to distinguish between all of them. What if I tell you that we can expect some sort of same results from an ‘emotion-less machine. KERAS In this article, we will be talking about the use of
Facial Emotion Classification Read More »
Photo by Shreya Damle on Dribbble Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall. There were over 2.3 million new cases in 2020, making it a significant health problem in the present day. The key challenge in breast cancer detection is to classify tumors as malignant or
Breast Cancer Detection Using Deep Learning Read More »