Can NN achieve the same results as RNN?
Speaking about real-life implementation, can the single-layer neural network work as good as RNN?
Classification based on the taxonomy
I need to perform classification of companies according to the defined taxonomy. It has 3 levels. How I c...
What is text normalization?
I am learning natural language processing (NLP). Recently I encountered the term "text normalization". Can...
How do I use DNNEstimator from tensorflow?
When researching which algorithm to use in the text classification I stumbled upon usage of DNNClassifier....
Should I migrate to TensorFlow 2.0?
I heard about new version of TensorFlow and that it is more simple, like 'keras'. But does it lose it term...
Bidirectional sequence models
Created by:
MegMit
2020-01-16 07:18:19 UTC
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Replies:
0
I know about such neural networks as LSTM and GRU, which are good for working with sequence data. But rece...
Size of training data for neural network
I have a time series forecasting task. I have heard that LSTM neural networks are one of the best algorith...
Dense neural networks for computer vision problems
I know that convolutional neural networks are used in all areas of modern computer vision. But what is the...
How to inspect learned parameters of the layer in Keras?
My current project includes training the deep neural network for natural text processing. I want to be abl...
Image normalization in Keras
I'm trying to do image classification with Keras. I have read that it is usually a good idea to normalize ...
Why traditional RNN isn't working in practice?
Created by:
elen_T
2019-11-21 07:07:29 UTC
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Replies:
0
I have heard that traditional recurrent neural networks aren't suitable for use in real life. Other types ...
What impact cause feature scaling on the model performance?
While working with data preprocessing before modelling few questions rose in my head. Is it possible that ...
AI tools for food recognition
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
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?
I'm interested in whether there are any specific algorithms for finding seasonal trends in data?
Similar images finding with neural networks
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?
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?
Hi, forum.
I would like to know how to add custom weights for the loss function in a binary or multiclass ...
Backpropagation algorithm basics
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
Hi. Currently, I'm developing a NN and got stuck with the question of whether there are any approaches to ...
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