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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.

1 vote

Implementing Batch normalisation in Neural network

Explanation using the article Understanding the backward pass through Batch Normalization Layer and from the cs231n materials. cs231n 2020 lecture 7 slide pdf cs231n 2020 assignment 2 Batch Normaliza …
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1 vote

Bert-Transformer : Why Bert transformer uses [CLS] token for classification instead of avera...

Not sure what it meant -> rather than using [CLS] token for classification? The Authoer did use [CLS] for classification tasks. BERT: Pre-training of Deep Bidirectional Transformers for Language Under …
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3 votes
2 answers
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Gradient descent implementation of logistic regression

Objective Seeking for help, advise why the gradient descent implementation does not work below. Background Working on the task below to implement the logistic regression. Gradient descent Derived the …
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