dibyatanoy / Bengali-Handwritten-Character-Recognition-Using-Convolutional-Neural-NetworksLinks
Implementation of convolutional neural networks (CNNs) of increasing complexity for classification of handwritten Bengali characters. The deepest network achieves 94.2% accuracy on test data, compared to 85.96% reported on the latest paper using CNNs for Bengali OCR.
☆73Updated 7 years ago
Alternatives and similar repositories for Bengali-Handwritten-Character-Recognition-Using-Convolutional-Neural-Networks
Users that are interested in Bengali-Handwritten-Character-Recognition-Using-Convolutional-Neural-Networks are comparing it to the libraries listed below
Sorting:
- ☆10Updated 6 years ago
- Bengali NLP☆32Updated 6 years ago
- Bengali Word Embedding☆17Updated 7 years ago
- POS Tagger for Bangla language based on Conditional Random Fields☆15Updated 12 years ago
- Notes for several Machine Learning and Deep Learning courses, textbooks, and talks☆58Updated 6 years ago
- My Webinar at ODSC, Boston 2019 for humans☆10Updated 6 years ago
- Neural machine translator for English2German translation.☆96Updated 8 years ago
- This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube☆61Updated 6 years ago
- ☆61Updated 7 years ago
- Code to run inference on a Show And Tell Model. This model is trained to generate captions given an image.☆45Updated 6 years ago
- ☆11Updated 8 years ago
- This is the code for the "How to do Object Detection with OpenCV" live session by Siraj Raval on Youtube☆103Updated 7 years ago
- Chapterwise code available in the book☆149Updated 6 years ago
- Bengali transformer using transformers☆21Updated last month
- This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trai…☆131Updated 8 years ago
- Computer Vision projects in python and C++☆16Updated 8 years ago
- Image Captioning: Implementing the Neural Image Caption Generator with python☆64Updated 7 years ago
- This a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model☆64Updated 7 years ago
- Alphabet recognition using EMNIST dataset for humans ⚓☆71Updated 4 years ago
- I have a Keras ReLU model that score 0.99457 on kaggle submission. I choose that model and Change all the ReLU activation to Swish. That…☆19Updated 7 years ago
- A digit autoencoder for humans 🧬☆34Updated 4 years ago
- Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark☆32Updated 7 years ago
- Finding similar images in the Holidays dataset☆103Updated 8 years ago
- Transliterating English to Hindi using Recurrent Neural Networks☆45Updated 8 years ago
- ☆11Updated 6 years ago
- An implementation of image captioning in Keras☆109Updated 7 years ago
- Word to HTML code converter for humans☆58Updated 3 years ago
- Facial Recognition using OpenCV and Python☆44Updated 7 years ago
- Using Kaggle cats vs dogs dataset☆98Updated 7 years ago
- State of the Art Language models and Classifier for Bengali, which is primarily spoken by the Bengalis in South Asia.☆32Updated 4 years ago