Linked Questions

0
votes
1answer
1k views

Is there a rule for number of hidden nodes in a layer and number of hidden layers [duplicate]

Is there a rule of thumb for selecting for a neural network or an autoencoder: (a) Number of hidden neurons (b) Number of hidden layers (c) In general, to begin applying a machine learning ...
2
votes
0answers
168 views

How to choose number of neurons and hidden layers? [duplicate]

I followed this guy's tutorial on YouTube. Following is the code that was used for classifying 0 to 9 handwritten digits from MNIST dataset. The dataset contains 70,000 images of 28 x 28. Here, 60,000 ...
0
votes
1answer
38 views

machine learning and neural network - hidden layers [duplicate]

you have been hired by a gem mining company to develop a classification system that can classify gems as part of the automated sorting system. you decided to use a network with one hidden layer. how ...
0
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0answers
37 views

Number of units in fully connected layers [duplicate]

I would like to build a fully-connected network for classifying three classes. As input I have two feature sets. One feature set with 100 features and another feature set with 1000 features. The input ...
0
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0answers
31 views

Rule of thumb for choosing NN parameters in a regression analysis [duplicate]

I am building a simple NN for a regression analysis (0.5 mln rows of data) in Keras. ...
0
votes
0answers
27 views

Is ther any logic that migth help while you create a Neural Network? [duplicate]

I am a newbie in Tensorflow and Keras and for the first moment I ask me the same few questions while I am creating my Neural Network. Even searching for some explanation of how to estructure, train, ...
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0answers
20 views

How to obtain the optimum model using Keras? Deep Learning [duplicate]

There are too many parameters while building an artificial neural network. Some of which that comes to my mind are: Number of layers Types of layers Number of nodes in each level of layer Activation ...
20
votes
4answers
9k views

What does "degree of freedom" mean in neural networks?

In Bishop's book "Pattern Classification and Machine Learning", it describes a technique for regularization in the context of neural networks. However, I don't understand a paragraph describing that ...
13
votes
1answer
50k views

Difference between "in-sample" and "pseudo out-of-sample" forecasts

Is there an explicit difference between in-sample forecasts and pseudo out-of-sample forecasts. Both is meant in the context of evaluating and comparing forecasting models.
7
votes
2answers
10k views

Time series prediction: Neural Network (nnetar) vs. exponential smoothing (ets)

When I make a forecast for the univariate time series $x_1=1, x_2=2, \dots, x_{14} = 14$, why does the nnetar() function in R (which uses a neural network) not ...
8
votes
2answers
8k views

ML with fastest classification speed

I have a data classification problem and I'm wondering what is the best machine learning approach to use for the particular constraints of my problem. My constraints are as follows: - the data ...
7
votes
1answer
15k views

Optimum number of epochs and neurons for an LSTM network

I wanted to know if there's a way to select an optimum number of epochs and neurons to forecast a certain time series using LSTM, the motive being automation of the forecasting problem, i.e. the ...
8
votes
1answer
2k views

Is building deep learning architectures a trial and error scheme?

I have been reading many deep learning papers where each of them follow different architecture. I cannot see what the logical sense or the intuitive sense behind each layer in each architecture. I got ...
8
votes
1answer
6k views

How to Choose Activation Functions in a Regression Neural Network?

I'm having difficulties with some basics regarding the application of feed forward neural networks for regression. To be specific, lets say that I have an input variable $x \in \mathbb R^4$ and data ...
3
votes
2answers
3k views

How to verify that the ANN code is working properly?

First I'm not sure if this is the right place to post my question, but I saw some questions about ANN, and I assumed I can ask it here. I have implemented an ANN with back-propagation. I'm using it ...

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