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Give AI real Forward-thinking cognition, while cutting training and resources needed by 90%

Here are the primary benefits LFM contributes to general AI architecture: 1. Shift from Pattern Matching to Principled Derivation Traditional AI (including most large language models) excels at finding correlations and patterns in massive datasets...

18 days ago in Watson Studio / watsonx.ai 0 Submitted

9 VOTE

Provide a seamless workflow from prototyping deep learning networks in notebooks to experiments builder

This idea depends on: https://ibmwatsondataplatform.ideas.aha.io/ideas/IBMWDP-I-12 I would like to be able to prototype neural networks in notebooks. Realistically this will require GPUs for performance reasons hence the dependency on IBMWDP-I-1...

over 7 years ago in Watson Studio 8 Delivered

6 VOTE

Provide a run button on Visual NN flow editor to simplify training and testing the network while prototyping

As a deep learning novice user, when I am prototyping, I want to be able to easily run a network so that I can try different configurations without having to define an Experiment. The Deep Learning with Python book encourages you to try different ...

over 7 years ago in Watson Studio 2 Not under consideration

2 VOTE

Build Internal Watson Studio Instance on w3 network bluemix instance

Allow an internal instance of Watson Studio in the w3 Bluemix instance. This would allow many internal projects to leverage the collaborative features of Watson Studio as well as the Jupyter notebooks and Rshiny features. I am a part of GTS and th...

almost 7 years ago in Watson Studio 0 Functionality already exists

2 VOTE

Managing Users in Admin

Our Story: Our team has a few members with Administrative access, we have LDAP authentication turned on and working. So we use the signup page and we are running into a problem after users sign up. After users sign up, they show up in the pending ...

over 7 years ago in Watson Studio 1 Not under consideration

2 VOTE

Grey out unsuitable nodes in NN modeler when building a new network

Studio's neural net modeler is designed to make NN development easier for novice data scientists/application developers. At the moment there is no assistance from the interface to guide developers through the process - they are left to trial and e...

over 7 years ago in Watson Studio 1 Not under consideration

2 VOTE

Add support for torch (PyTorch) in Watson Studio Notebooks

For training and testing few of the deep learning neural networks, please add support for PyTorch.

over 7 years ago in Watson Studio 1 Functionality already exists

1 VOTE

Allow overwriting/deleting previous training definitions when saving a neural network flow

if you prototype in the neural network editor trying different designs and then publish the training definition, you can quickly build up a lot of trainig definitions. we should have an easy option for deleting from the ui or overwriting a previo...

over 7 years ago in Watson Studio 0 Not under consideration

1 VOTE

Provide text based Neural Network examples with Visual flow editor

Can you please add some examples of binary and multi-label classification with different Network topologies. For example, the Deep Learning with Python book presents a number of different Neural Network topologies to perform classification using I...

over 7 years ago in Watson Studio 0 Not under consideration

1 VOTE

Project based workload mgmt and CPU/GPU Allocation

As we're getting into deep learning & neural network based modeling, there is a need to allow projects or models to benefit from GPU based compute. Today when we provision DSx or WML, we have to pre select a HW config. Thereafter all projects ...

almost 8 years ago in Watson Studio 0 Delivered

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