GitHub topics: one-hot
adolfo590/kerastcvai
📚 Build and classify text datasets using Keras, employing DNN, RNN, and CNN models for effective text classification and analysis.
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miozilla/kerastcvai
kerastcvai :books::abacus::moneybag: : # Keras Text Classification # DNN # RNN # CNN
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laavanjan/Simple_RNN_imdb
This repository provides a Streamlit-based web application for sentiment analysis of IMDB movie reviews.t utilizes a pre-trained Recurrent Neural Network (RNN) model to classify reviews as positive or negative.sers can input their own reviews and receive real-time sentiment predictions.
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Skygers/Multiclass-U-Net-for-liver-tumor-segmentation
Liver Tumor Detection using Multiclass Semantic Segmentation with U-Net Model Architecture. CT-Scan images processed with Window Leveling and Window Blending Method, also CT-Scan Mask processed with One Hot Semantic Segmentation (OHESS)
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formath/string2sign
Generate balanced uint64 hash for string. Widely used in the generation of feature id in machine learning.
Language: C++ - Size: 7.81 KB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 6 - Forks: 4
SuraMahesh/Word-Embedding-for-Deep-Learning
In this Project, we will study word embeddings for NLP tasks that involve deep learning. We will see how word embeddings can be used to perform simple classification task using deep neural network in Python's Keras Library.algorithms,
Language: Python - Size: 1000 Bytes - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
