Tag: Deep Learning
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What is a hash table?
A hash table, or a hash map, is a data structure used in computer science to store and retrieve values based on a unique key. Hash tables offer an efficient implementation method for associative arrays or dictionaries, which involve storing data in the form of key-value pairs. The primary idea behind a hash table is…
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Image Classification with CIFAR-10 dataset
Image classification with the CIFAR-10 dataset is a popular task in computer vision and machine learning. The CIFAR-10 dataset consists of 60,000 color images (32×32 pixels) across 10 different classes, with 6,000 images per class. Performing image classification with the CIFAR-10 dataset involves several general steps and some important steps are here below:
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Long Short-Term Memory (LSTM) in Deep Learning
Long Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) architecture that addresses the vanishing gradient problem and enables the modeling of long-term dependencies in sequential data. LSTMs have several benefits and a unique working mechanism that sets them apart from traditional RNNs. Here’s an overview: Benefits of LSTMs: Working of LSTMs: Long…