Knet VS Deeplearning4j

Compare Knet VS Deeplearning4j and see what are their differences

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Knet

Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

Deeplearning4j

Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

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2021-10-10

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2023-10-16

Play Doh Knetfiguren | deutsch - formen mit Knetix Knet-Set | Review and Fun

Deeplearning4j videos

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Deep Learning with DeepLearning4J and Spring Boot - Artur Garcia & Dimas Cabré @ Spring I/O 2017

Category Popularity

0-100% (relative to Knet and Deeplearning4j)

Deeplearning4j

OCR

77 77%

OCR

23% 23

Data Science And Machine Learning

46 46%

Data Science And Machine Learning

54% 54

Data Science Tools

0 0%

Data Science Tools

100% 100

Machine Learning

54 54%

Machine Learning

46% 46

User comments

Share your experience with using Knet and Deeplearning4j. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Deeplearning4j seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Knet mentions (0)

We have not tracked any mentions of Knet yet. Tracking of Knet recommendations started around Mar 2021.

Deeplearning4j mentions (4)

Machine Learning in Kotlin (Question)
While KotlinDL seems to be a good solution by Jetbrains, I would personally stick to Java frameworks like DL4J for a better community support and likely more features. Source: over 2 years ago
Does Java has similar project like this one in C#? (ml, data)
Would recommend taking a look at dl4j: https://deeplearning4j.org. Source: almost 3 years ago
just released my Clojure AI book
We use DeepLearning4j in this chapter because it is written in Java and easy to use with Clojure. In a later chapter we will use the Clojure library libpython-clj to access other deep learning-based tools like the Hugging Face Transformer models for question answering systems as well as the spaCy Python library for NLP. Source: almost 3 years ago
[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS
FastAPI. Or even simpler: DL4J, to be used in Java when we need to communicate with the rest of the applications in real time. Source: about 3 years ago

What are some alternatives?

When comparing Knet and Deeplearning4j, you can also consider the following products

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

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