? Receptive Fields on ConvNets (Receptive Field size confusion)

I was reading this from a paper: "Rather than using relatively large receptive fields in the first conv. layers we use very small 3 × 3 receptive fields throughout the whole net, which are convolved w
 ? the relationship between a specific layer and its receptive field

In one paper, I saw the following table regarding the relationship between layers and their respective receptive fields. I have two questions:1) How to calculate this kind of relationship, are there n
 ? Receptive Field Size vs Object Size

I have a question regarding the relationship between receptive field of a CNN and the object size it should detect. Lets say my objects have a size of 16x16 px. So should the receptive field be at lea
 ? How to visualize intermediate feature layers in keras?

I've read the paper Visualizing and Understanding Convolutional Networks by Zeiler and Fergus and would like to make use of their visualization technique. The paper sounds promising - but unfortunatel
 ? how to generate rules from decision tree in data mining?

I have code to create decision tree from data set. i am using weather data set in weka examples. how can i generate the rules from the decision tree in java?Data set::@relation weather@attribute outlo
 ? Does logistic regression always find global optimum, assuming that the optimisation converges?

I am uncertain if this is the case both in general(does logistic regression always find global optimum) and in particular (does logistic regression always find global optimum when that the optimisatio
 ? What is the relationship between Machine Learning and Sentiment Analysis?

When considering Social Networks like Twitter and Facebook, what can be the mechanism / technique used to do predictions for "age" and "gender"? Can it be done through Machine Learning or Sentiment An
 ? What are units in neural network (backpropagation algorithm)

Please help me to understand unit thing in neuron networks. From the book I understood that a unit in input layer represents an attribute of training tuple. However, it is left unclear, how exactly it
 ? Hebbian learning

I have asked another question on Hebbian learning before, and I guess I got a good answer which I accepted, but, the problem is that I now realize that I've mistaken about Hebbian learning completely,
 ? I want to build an interactive machine learning system to classify items using as much readily-available software as possible

I have a complex problem I want to solve with machine learning, but because I'm new to machine learning, I'm going to practice by trying to solve a really simple problem first. The fundamental questio
 ? Machine learning algorithm for this task?

Trying to write some code that deals with this task:• As an starting point, I have around 20 "profiles" (imagine a landscape profile), i.e. one-dimensional arrays of around 1000 real values.• Each pro
 ? Machine learning algorithm for this task?

Trying to write some code that deals with this task:• As an starting point, I have around 20 "profiles" (imagine a landscape profile), i.e. one-dimensional arrays of around 1000 real values.• Each pro
 ? Machine learning algorithm for this task?

Trying to write some code that deals with this task:• As an starting point, I have around 20 "profiles" (imagine a landscape profile), i.e. one-dimensional arrays of around 1000 real values.• Each pro
 ? What are the metrics to evaluate a machine learning algorithm

I would like to know what are the various techniques and metrics used to evaluate how accurate/good an algorithm is and how to use a given metric to derive a conclusion about a ML model. one way to do
 ? What is this machine learning algorithm called?

I was reading this webpage which was describing an example of how Naive Bayes classification works:http://www.statsoft.com/textbook/naive-bayes-classifierTheir example involves looking at the probabil
 ? What exactly is a "weight" in machine learning algorithms

I'm currently learning about perceptron learning algorithms in python and I came across the term "weight" when reading about Rosenblatt's perceptron rule. Can anyone explain to me exactly what this te

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