# Deeplearning4J Animal Classifier

**URL:** <https://community.konduit.ai/t/deeplearning4j-animal-classifier/1415>\
**Category:** DL4J\
**Created:** [May 31, 2021, 9:51am UTC](https://community.konduit.ai/t/deeplearning4j-animal-classifier/1415 "2021-05-31T09:51:25Z")\
**Posts on this page:** 8\
**Page:** 1

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**Author:** ![HJT](https://avatars.discourse-cdn.com/v4/letter/h/53a042/32.png) [@HJT](https://community.konduit.ai/u/HJT)\
**Post date:** [May 31, 2021, 9:51am UTC](https://community.konduit.ai/t/deeplearning4j-animal-classifier/1415/1 "2021-05-31T09:51:25Z")

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Am using DL4J AnimalClassifier.java, the dataset using there is an animal classifier with 4 CSV files.

My question: can we consider this dataset as sequential dataset? If yes, why? If no, can you please suggest me a simple sequential dataset so I can use with DL4J.

Thank you so much.

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**Author:** ![agibsonccc](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/agibsonccc/32/697_2.png) [@agibsonccc](https://community.konduit.ai/u/agibsonccc)\
**Post date:** [June 2, 2021, 5:24am UTC](https://community.konduit.ai/t/deeplearning4j-animal-classifier/1415/2 "2021-06-02T05:24:38Z")

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@HJT no that is an object recognition problem. Also note that you’re probably referencing the book. Some of the examples in there are a few years out of date. For maintained, most recent examples please see [GitHub - eclipse/deeplearning4j-examples: Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)](https://github.com/eclipse/deeplearning4j-examples)

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**Author:** ![HJT](https://avatars.discourse-cdn.com/v4/letter/h/53a042/32.png) [@HJT](https://community.konduit.ai/u/HJT)\
**Post date:** [June 2, 2021, 9:05am UTC](https://community.konduit.ai/t/deeplearning4j-animal-classifier/1415/3 "2021-06-02T09:05:07Z")

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Thank you so much,  
I already have my code, and I would like to inject a sequential dateset. any idea where should I dig?

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**Author:** ![agibsonccc](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/agibsonccc/32/697_2.png) [@agibsonccc](https://community.konduit.ai/u/agibsonccc)\
**Post date:** [June 2, 2021, 9:49am UTC](https://community.konduit.ai/t/deeplearning4j-animal-classifier/1415/4 "2021-06-02T09:49:23Z")

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@HJT for video? Time series? There’s different kinds of sequence problems

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**Author:** ![HJT](https://avatars.discourse-cdn.com/v4/letter/h/53a042/32.png) [@HJT](https://community.konduit.ai/u/HJT)\
**Post date:** [June 2, 2021, 10:05am UTC](https://community.konduit.ai/t/deeplearning4j-animal-classifier/1415/5 "2021-06-02T10:05:11Z")

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I need something light and small, i prefer numbers.  
Also if there is a dataset already used in deeplearning4j package.

Thank you

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**Author:** ![HJT](https://avatars.discourse-cdn.com/v4/letter/h/53a042/32.png) [@HJT](https://community.konduit.ai/u/HJT)\
**Post date:** [June 2, 2021, 1:01pm UTC](https://community.konduit.ai/t/deeplearning4j-animal-classifier/1415/6 "2021-06-02T13:01:31Z")

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another question if you do not mind, I found in the following package:  
org.deeplearning4j.examples.advanced.modelling.embeddingsfromcorpus.sequencevectors;  
file : SequenceVectorsTextExample.java  
that use data set called: raw\_sentences.txt

is this data set considered to be sequential data set

really appropriate your time and help 🌸

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**Author:** ![agibsonccc](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/agibsonccc/32/697_2.png) [@agibsonccc](https://community.konduit.ai/u/agibsonccc)\
**Post date:** [June 2, 2021, 1:16pm UTC](https://community.konduit.ai/t/deeplearning4j-animal-classifier/1415/7 "2021-06-02T13:16:34Z")

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@HJT again I suggest you pick a domain. NLP, Computer Vision and Time Series Sequential are very different things. The smallest to do would be time series rather than NLP if you want that.

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**Author:** ![HJT](https://avatars.discourse-cdn.com/v4/letter/h/53a042/32.png) [@HJT](https://community.konduit.ai/u/HJT)\
**Post date:** [June 2, 2021, 1:18pm UTC](https://community.konduit.ai/t/deeplearning4j-animal-classifier/1415/8 "2021-06-02T13:18:38Z")

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Yees I want, can you guide me.
