The NVIDIA Deep learning GPU training System is super powerful to quickly train deep neural networks and is really precise. The best part is that it is interactive and comes at a great price. Review collected by and hosted on G2.com.
NVIDIA Deep learning GPU training System is only for those who are going to do a lot of work and for simply learning the concepts, you might not need it. It should have been less expensive. Le Review collected by and hosted on G2.com.
The system is fast and powerful, it delivers the result in a blasting fast way! Saved tons of time to debug and develope! Review collected by and hosted on G2.com.
So far so perfect! Keep up good work and build an AI-powered future! Review collected by and hosted on G2.com.
Monitoring Performance in real time, Machine learning Review collected by and hosted on G2.com.
For beginers it is not much userful and actions need to be taken in that line Review collected by and hosted on G2.com.
I like the way it makes things easier to train neural networks and monitors the performance by being interactive. Review collected by and hosted on G2.com.
I just feel it might be a little complicated initially to setup for naive users (but once setup it might be very easy to maintain) though i have to try out myself. I am also skeptical about its scalability for larger data models or networks. Review collected by and hosted on G2.com.
NVIDIA always gives the power for developers and data scientists to simplify many tasks in AI and ML fields. DIGITS is one such creation that helps developers to design and train more complex networks. The exciting thing is it is an open-source project. Really the main reason I liked DIGITS is that they built nice tooling around the data and the learning process so we could get the gist of your errors quickly and fix them as they arise. Review collected by and hosted on G2.com.
The only difficulty is writing the first and last layers of the network correctly so that DIGITS understands what to do with it. Review collected by and hosted on G2.com.
The NVIDIA Transfer Learning Toolkit (TLT) is the AI toolkit that abstracts away the AI/DL framework complexity and leverages high quality pre-trained models to enable you to build production quality models faster with only a fraction of data required. Review collected by and hosted on G2.com.
Nothing as of now it is perfectly fine and the best GPU training system in the market Review collected by and hosted on G2.com.
How it trains models using tenserflow and gives best visualisation of model architecture using tensor board. There are many more that I like about it Review collected by and hosted on G2.com.
facing difficulties writing the first and last layer of network except that I like it all Review collected by and hosted on G2.com.
Nvidia is always good at GPU's, and recently, as a data center product Nvidia DGX2 has shown good performance numbers Review collected by and hosted on G2.com.
Probably the cost of maintaining the product is higher Review collected by and hosted on G2.com.
The way you are introduced to this technology and its use in DL-based solutions Review collected by and hosted on G2.com.
I really enjoyed everything in this course Review collected by and hosted on G2.com.
DIGITS provides various frameworks to work on, like Torch. and its image classification
It helps me in my multiple projects like training models and computing speed also very fast. Review collected by and hosted on G2.com.
Nothing as such.
But you can add more new features in segmentation techniques Review collected by and hosted on G2.com.