Why the performance of the methods of Deep Learning is better than the performance of the rest of the machine learning models?

More Luis Miralles's questions See All

Where can I find a Real Time Bidding Dataset ?

Hello, I am trying to find a Real Time Bidding dataset. I have found two, one from yahoo: https://webscope.sandbox.yahoo.com/catalog.php?datatype=a and another one from i ping...

09 October 2017 9,900 1 View

Is Deep Learning better that the rest of supervised machine learning methods for both classification and regression problems?

Is Deep Learning better that the rest of supervised machine learning methods for both classification and regression problems? Is there any scientific article to support this statement? Under what...

10 November 2016 6,612 2 View

Why Deep Learning method perform better than other traditional Machine Learning methods?

Do they perform better for classification and regression supervised problems?

09 October 2016 1,691 13 View

Do Deep Learning Networks use any Feature selection method such as NSGA, RFE or PCA ?

He was looking for information about the most used feature selection methods in Deep Learning.

09 October 2016 2,135 11 View

When is it strictly necessary applying cross-validation to measure a machine learning method accuracy? And when is it correct ...?

When is it strictly necessary applying cross-validation to measure a machine learning method accuracy? And when is it correct using 70% of the dataset for the training set and 30% for testing...

01 January 1970 8,760 8 View

Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

03 March 2021 1,458 4 View

What are some of the research gaps in machine learning and artificial intelligence in africa?

i would to know some of the research gaps in the artificial intelligence field in most african countries.

03 March 2021 6,145 3 View

Anyone plz suggest relevant topic for research in image processing+Deep learning.?

I have selected brain tumor images ...but now found that already lots of research done n this topic.

03 March 2021 5,774 3 View

How to increase a model accuracy ?

dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...

03 March 2021 6,994 5 View

Waters 2707 HPLC autosampler problem?

I am using a 2707 waters HPLC device. When I try to inject a sample, it says missing plate or rack. I changed the needle and calibrated its position but I still get the same problem. I even get...

02 March 2021 1,408 1 View

Can you share me how teacher education is managed in your respective national educational system?

I feel that the practice in teacher education in my country is below the expected performance level due to very poor management system. Hope I will learn something from your experiences.

02 March 2021 1,516 4 View

Can NFL theorem be valid in infinite search space in ML?

NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...

01 March 2021 1,189 3 View

Any research papers for extraction of nutrient deprivation on macroalgae? Analysed by HPLC-UV and GC/MS. Possibly from macroalgae genus Rhizoclonium?

I am doing my thesis on the nutrient deprivation on the macroalgae Rhizoclonium sp. I will be analysing the levels over a period of roughly 5 days by HPLC-UV and GC/MS. I will be using seawater as...

28 February 2021 6,477 1 View

What is the difference between L1 and L2 regularization in machine learning?

L1 and L2 regularization

28 February 2021 4,187 3 View

How to eliminate Steady state error from Reinforcement learning genetic algorithm code?

The following code (see 1st 2 images attached) is used to produce PID controller values that are designed to control the system (G). The code finds the PID controller values (noted as k) by using...

28 February 2021 6,560 14 View

Sebastian Zambanini

A short answer to that would be that due to the large complexity of the models (mllions of parameters to train) they are generally capable of representing and learning very complex data patterns. And now we know how to effectively train these models.Another aspect is the hierarchical processing in layers, where we have concise representations of the data, from general ones at the beginning to more specific ones at the end of the net.