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This post discuss the loss functions for binary and multi-class cassification.
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This post discuss vectorization over training examples in a multi-layer neural networks.
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This post discuss topics such as backpropagation, computational graph, and the algorithm of backpropagation of multi-layer neural networks.
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This post discuss topics such as backpropagation, computational graph, and the algorithm of backpropagation of a 2-layer fully-connected neural network.
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This post includes the illustration and mathematical representations of a 2-layer fully-connected neural network.
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This post includes the notes while reviewing the book called Build a Large Language Model (From Scratch) by Sebastian Raschka.
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This post explains Navie Bayes and how to use it for training a model for sentiment analysis on tweets.
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This post covers the topics about logistic regression (LR) and the cost function and gradient descent used in LR. At the end, it gives a code example using LR for sentiment analysis on tweets.
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This post discusses about building vocabulary and feature extraction for NLP.
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This post discusses the transformer.