Analyze the active regulatory region of DNA using FFNN and CNN
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Updated
Mar 29, 2021 - Python
Analyze the active regulatory region of DNA using FFNN and CNN
A feed forward neural network (FFNN) is built to recognize the gray-scale images of hand-drawn digits from zero through nine using tensorflow.
Web UI for the data behind PicPic, an automatic image selection tool for news articles
A repository with Advanced Machine Learning Course Assignments (FFNN, AutoEncoders, CNN, TL, HPO)
A Face Detection and Recognition system based on Eigenface method
Consists of different types of machine learning models.
Revolutionize text summarization with this Transformer model, leveraging state-of-the-art techniques. Trained on news articles, it produces concise summaries effortlessly. Explore cutting-edge capabilities for your summarization needs.
Данные проекты были выполнены в ходе обучения в Яндекс.Практикуме по профессии "Специалист по Data Science"
Supa simple feed forward neural net with explanations to practice c++ :)
Feed-Forward Neural Network-Based Face Classifier Model with Histogram of Oriented Gradients Feature Extraction
Project done at the Politechnic University of Madrid together with my colleagues Anamarija Eres and Dominik Kos.
Action recognition using LSTM
Classification of acronyms and their long forms using an RNN (LSTM), CNN, and FFNN model. The experiments focused on the RNN and used different vectorisation methods and hyperparameters. Models were built with Keras and the notebook code runs on Google Colab.
Fully Connected Forward Feed Neural Network
This repository includes an implementation of a neural sequence model, such as FFNN or LSTM, designed to tag words in sentences with the correct part-of-speech (POS) tags.
A quick implementation of Fast Feed Neural Network that support reading JSON input and visualize the network in an image
Made from Scratch: Logistic regression, k-means clustering and FFNN Neural Network.
Optimizing customer retention with FFNN-based churn prediction model
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