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Neural-networks
Showing all 3 resultsSorted by popularity
- Software Projects
Predictive Maintenance using Unsupervised Machine Learning
For any industrial machinery equipment, there is a need to increase operational flexibility and reduce operating costs. To achieve this objective, system engineers mainly focuses on 3 attributes of the machinery, namely reliability, maintainability and reliability. Maintenance strategy significantly improves the reliability and availability of assets and, as a result, decreases the number of unpredicted breakdowns. Recently unsupervised Machine Learning has received much attention in anomaly detection and predictive maintenance of equipments before they can fail. Unsupervised learning can help automate and improve feature engineering by extracting relevant and informative features from the data, without requiring labels or prior knowledge. In this project there are three different techniques that are applied: 1) PCA Model, 2) Auto-encoder Model and 3) LSTM Model with auto-encoder for detection of motor and compressor failures.
SKU: Predictive Maintenance using Unsupervised Machine Learning - Software Projects
Image Search using Deep Learning
Content based Image Retrieval (CBIR) is a popular technique used in computer vision for finding out a specific image out of a given set of images. Different category of images is stored in a folder of the repository. These are then preprocessed and visualized using image processing technique. Autoencoder architecture is used for image classification. Deep learning model is trained with the train set of data while model inferencing is done by using test component of dataset. When the user wants to search a particular image which will be matched with each of the images present in the repository and the image that is best matched with the given image will be displayed on the top followed by other similar images based the similarity score. Flask API is used to develop a web application running on local server. This project finds many useful applications such as fashion and retail, manufacturing and health care industries.
SKU: n/a - Software Projects
Neural Machine Translation
The objective of this project is to convert Hindi sentence to English sentence for non-native speakers using Neural Machine Translation. The dataset is preprocessed by removing punctuations and all duplicate values as well as all quotes, numbers and white spaces that are present in text data. Then English and Hindi vocabulary is prepared by splitting sentences into words. Encoder Decoder architecture is used to build the model wherein decoder is an LSTM model with embedding layer, sequence to sequence layer, attention mechanism and dense layer. The model is appropriately trained with the train data and saved the model weights, which are loaded while inferencing the test data for making the prediction. The predicted English translation will be obtained from decoded sequence function.
SKU: n/a
