Chainer Reviews & Product Details

The tools of artificial intelligence condensed into this sound effect software. For experts, it is possible to create 10 channels per rack or sound generator by layering the sounds of your VSTi. Review collected by and hosted on G2.com.

The complexity of the words and abbreviations used that are only addressed to and even the experts themselves are sometimes lost.

The sound effects should be able to better adapt to semi-professional equipment. Review collected by and hosted on G2.com.

Chainer is a compelling, flexible and innovative platform, and the best thing I like about this product is that they have a very deep learning platform; it is straightforward to get started and onboard. Review collected by and hosted on G2.com.

They should improve their support; in the part of the document, they should support more valuable networks than they currently support. It is unpopular, so no good blogs and documentation are provided. Review collected by and hosted on G2.com.

The Chainer is very useful and update application, i am using this application solved my daily basis problems, and this application always provide accurate information, this application is very easy to use, Review collected by and hosted on G2.com.

Nothing is dislike in this application all the features and tools are fully update and working Review collected by and hosted on G2.com.

The best thing i like about chainer is that its an open source deep learning framework. Being a python developer myself its very useful for me. Review collected by and hosted on G2.com.

I dont think i dislike something about chainer till now. Review collected by and hosted on G2.com.

We used chainer for one our recent ML and AI project where we wanted to use a neural network. It is very easy to get started and onboarded with Chainer as it just requires few commands to get started. Review collected by and hosted on G2.com.

The documentation and paid support should be improved. In addition to that, they should support more neural networks than they currently support. Review collected by and hosted on G2.com.

It only requires a few lines of code to leverage a GPU. Review collected by and hosted on G2.com.

Not so popular, hence no proper blogs or documentation provided. Review collected by and hosted on G2.com.

It's compact in terms of coding to leverage GPU. Review collected by and hosted on G2.com.

None for now, but it isn't popular and we don't have modules available. Review collected by and hosted on G2.com.

The support for CUDA/cuDNN for high performance Training and Inference.

Helpful to write variety of neural network applications to solve real world problems. Review collected by and hosted on G2.com.

Pytorch and tensorflow have more industry support and bigger community. This in turn leads to easier adoption of pytorch and tensorflow over chainer. This is turn results into more learning/tutorial and development resources online for pytorch and tensorflow, making them the easier choice while implementing DL applications. Review collected by and hosted on G2.com.

imperative programming. cupy was visionnary. Review collected by and hosted on G2.com.

nothing, but pytorch ecosystem grew very fast and i started using it instead Review collected by and hosted on G2.com.

Very fast

Easy to implement

Has GPU configuration and many parameters to trigger Review collected by and hosted on G2.com.

Not well-known

Not so good documentation like tensorflow with varied examples Review collected by and hosted on G2.com.