A neural networks project that categorizes different poems in the dataset according to their genre
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Updated
Jun 27, 2019 - Python
A neural networks project that categorizes different poems in the dataset according to their genre
Hand written digit recognition model done with MNIST dataset using tensorflow keras library. the model can detect the handwritten number and achieved 97% accuracy with 10000 data samples provided with MNIST
This Project is based on Neural Network to classify between Dogs and Cats.
colbert for dense retrieval, including multi view version, dureader-retrieval as an example
Image classification of pokemon using manually created Neural Network
Training and Deployment Neural Networks model (using keras) to recognize handwritten digits
A Fast, Extensible Trainer and Extensions for Pytorch
A simple code for creating your own custom layer in TensorFlow using Keras API. Here I have created the Dense layer same as the regular dense layer available in the Keras API.
Building Convolution Neural Networks from Scratch
Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow
Efficient matrix representations for working with tabular data
Keras implementation of Mixed-scale Dense Net (MS-D Net) object segmentation
[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061
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