
It helps to increase the productivity of my business. Review collected by and hosted on G2.com.
Nothing as on now. Still exploring the tool. Review collected by and hosted on G2.com.
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It helps to increase the productivity of my business. Review collected by and hosted on G2.com.
Nothing as on now. Still exploring the tool. Review collected by and hosted on G2.com.

Torch, has many packages in machine learning, signal processing, audio, video and parallel processing. It also has neural networks and deep learning algorithms. Basically. It allows people to conduct research at a rapid pace, develop ideas more quickly without being bogged down by the details of implementation. At the same time, it allows us to deepen and understand the fundamentals, making the learning cycle faster and more effective. Review collected by and hosted on G2.com.
A negative point of TORCH is that it needs the LuaJIT environment when it is running and is slowing the road to large-scale production. Otherwise, this product is as good as the tensorflow. If someone is willing to learn a new language, this product is highly recommended. Review collected by and hosted on G2.com.

1. When images belonging to a class are placed inside a folder bearing the class name, Pytorch's data loader automatically uses the folder name as the class label and maps all images inside the folder to the class.
2. Pytorch offer a lot of pre-trained networks for transfer learning.
3. Pytorch's developer community keeps getting larger, as popular deep learning courses and tutorials now use it. Review collected by and hosted on G2.com.
After loading images to PyTorch's dataloader, it is very hard to integrate it with other libraries like scikit-learn. This has prevented me from performing some machine learning techniques like ensembling, cross-validation, stacking and so on. Review collected by and hosted on G2.com.

Torch is very easy to incorporate, and at the same time highly flexible. The ease of use and flexibility allows rapid prototyping of components. Allowing people to conduct research at fast pace, develop ideas more quickly while not being bogged down by implementation details. At same time it allows us to dig deeper and understand fundamentals, making the learning loop faster and more effective. Review collected by and hosted on G2.com.
I think biggest issue is the dependence on lua. Newer implementation of pytorch removes this issue. Review collected by and hosted on G2.com.

Torch is an open source framework. The inclusion of pre-trained models makes the development of neural networks much faster. Review collected by and hosted on G2.com.
Having to learn a new programming language. Review collected by and hosted on G2.com.
Pytorch is very easy to learn and very convenient to use. It is better than tensorflow mainly due to two points: 1. tf has too many interfaces for one function and it is hard for us to decide which one to use, but pytorch has suitable interface for a function; 2. when you want to print some dynamically in pytorch, you can do it directly but the case is different for tf. Review collected by and hosted on G2.com.
The provided implementations of models need to be enhanced. Review collected by and hosted on G2.com.

It provides a lot of image augmentation tools like random rotation and vertical and horizontal flip. Most deep learning tutorials are implemented using torch. Review collected by and hosted on G2.com.
It does not show training progress when working. Review collected by and hosted on G2.com.

Torch helping to perform your deep learning modeling effectively and efficiently Review collected by and hosted on G2.com.
I don't find any difficulty in using Torch. So no dislike Review collected by and hosted on G2.com.
While entering Deep Learning code first, I found the abstraction of Torch's APIs very helpful. Within minutes, I was able to build up a deep neural network. Review collected by and hosted on G2.com.
The documentation site could use some improvements in the general UX. Review collected by and hosted on G2.com.
Torch requires to be more flexible to compete the market trends.Its rates can be made lower for the frequent users. Review collected by and hosted on G2.com.
It is a good platform and I think it is east to implement and user friendly. Review collected by and hosted on G2.com.
Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.
How do I perform cross-validation and ensembling on Pytorch, and how can I integrate scikit-learn
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