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What impact cause feature scaling on the model performance?

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While working with data preprocessing before modelling few questions rose in my head. Is it possible that ...

AI tools for food recognition

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I want to build and app for the restaurant that will recognise food on the clients trays. What should I st...

Difference between Keras and tf.Keras

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I'm interested in what is the difference between Keras framework for neural networks creation and the tf.k...

Finding trends and seasonality. Which algorithm to use?

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I'm interested in whether there are any specific algorithms for finding seasonal trends in data?

Similar images finding with neural networks

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Recently I have seen the task where the application should find similar images to the given image. I suppo...

How CNN can be used for NLP problems?

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Convolutional Neural Networks (CNNs) are widely used in computer vision. But recently I realized that they...

How to implement my own weighted loss function in Keras?

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Hi, forum. I would like to know how to add custom weights for the loss function in a binary or multiclass ...

Backpropagation algorithm basics

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Hi everybody! I'm a machine learning student and I'm interested in neural networks at the moment. Could yo...

Ways of measuring NN modeling a distribution

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Hi. Currently, I'm developing a NN and got stuck with the question of whether there are any approaches to ...

Neural network... how do I pick the number of neurons?

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Hi, I'm a computer science student, and I'm trying to create a neural net to classify texts as a side proj...

ML price prediction problem on time series data

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I have some time series data describing purchasing logs of various items, like product P purchased for amo...

Searching for proper NLP algorithm for prediction

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Hello! I’m a newbie in the NLP, so currently I’m struggling with the following problem. Let’s assume, that...

Why does RNN is good for predicting time series?

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RNNs work extremely well at solving problems involving processing text, video, and audio data, mostly beca...

Can NN achieve the same results as RNN?

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Speaking about real-life implementation, can the single-layer neural network work as good as RNN?

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