implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)
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Updated
Oct 9, 2022 - Python
implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)
An python implementation of RNN (without deep learning framework)
Implementation of Java, C, C#, and C++'s switch statement.
KPCA and LDA implementations.
Python implementation of the neural networks without using any libraries from scratch, for prediction using the pre-trained weights
A Python-based command-line tool developed as part of a research project on Machine Learning and IoT. It utilizes a custom implementation of the TF-IDF algorithm to provide interactive and concise three-point answers to IoT-related queries.
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