Optimizing neural networks is crucial for achieving high performance in machine learning tasks. Optimization involves adjusting the weights and biases of the network to minimize the loss function. This process is essential for training deep learning models effectively and efficiently.
An NLP project on detecting sarcasm in texts which don't contain any non-offensive term but are sarcastic in the context of the conversation.
PyTorch Library on Artificial Neural Network Model
Perform Sentiment Analysis on App's Review Data
A Superrvised Learning model to predict customer's Level of Satisfaction In a Restaurant.
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