Deeplearning4j VS Knet

Compare Deeplearning4j VS Knet and see what are their differences

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Deeplearning4j

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

Knet

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

Landing page //
2023-10-16

Landing page //
2021-10-10

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

Knet videos

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

Category Popularity

0-100% (relative to Deeplearning4j and Knet)

Knet

Data Science And Machine Learning

54 54%

Data Science And Machine Learning

46% 46

OCR

23 23%

OCR

77% 77

Data Science Tools

100 100%

Data Science Tools

0% 0

Machine Learning

46 46%

Machine Learning

54% 54

User comments

Share your experience with using Deeplearning4j and Knet. 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.

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

Knet mentions (0)

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

What are some alternatives?

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

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.

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

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

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

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.

Darknet - Darknet is an open source neural network framework written in C and CUDA.

Deeplearning4j vs TensorFlow

Deeplearning4j vs Keras

Deeplearning4j vs PyTorch

Deeplearning4j vs TFlearn

Deeplearning4j vs DeepPy

Deeplearning4j vs Darknet