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Latent-Space-Representation-Learning-using-a-Deep-Autoencoder
Latent-Space-Representation-Learning-using-a-Deep-Autoencoder PublicImplemented a Fully Connected Autoencoder using Keras on the MNIST dataset for unsupervised image reconstruction and dimensionality reduction. The model compresses 784-dimensional inputs into a 32-…
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Sentiment-Analysis-Using-Long-Short-Term-Memory-LSTM-
Sentiment-Analysis-Using-Long-Short-Term-Memory-LSTM- PublicThis project implements a Long Short-Term Memory (LSTM) neural network for binary sentiment classification. The model is trained on a custom text dataset to classify sentences as Positive or Negati…
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Implementation-of-XOR-Logic-Gate-Using-Artificial-Neural-Network
Implementation-of-XOR-Logic-Gate-Using-Artificial-Neural-Network PublicThis project focuses on implementing an Artificial Neural Network (ANN) using TensorFlow and Keras to solve the XOR (Exclusive OR) logical problem. The XOR problem is a fundamental example in machi…
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Deep-Learning-Approach-to-Part-of-Speech-Tagging
Deep-Learning-Approach-to-Part-of-Speech-Tagging Publichis project presents a deep learning-based approach to Part-of-Speech (POS) tagging using Recurrent Neural Networks (RNNs). POS tagging is a core Natural Language Processing (NLP) task that involve…
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