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AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook
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AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook Reviews & Product Details

AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook Overview

AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook Details
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Jetware

Description

Jetware is a platform offering pre-configured, ready-to-run virtual machine images tailored for various applications and development environments. It simplifies the deployment process by providing optimized images that can be easily launched on cloud services, such as AWS and Google Cloud, or on local virtualization solutions. The platform is designed to save time and reduce complexity, allowing developers and IT professionals to focus on their core tasks rather than configuration.

Recent AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook Reviews

Verified User
U
Verified UserSmall-Business (50 or fewer emp.)
4.0 out of 5
"A great assimilation of packages"
The best thing is the minimal installation hassle generally we have to check which packages are compatible with which version of other. But here w...
Praveen K.
PK
Praveen K.Mid-Market (51-1000 emp.)
4.0 out of 5
"An amazing solution for Data Scientists"
Love the integrations and pre built readiness with Tensorflow, Keras, GPU, cuDNN I have used Tensorflow with cuDNN for my projects
Muhammad H.
MH
Muhammad H.Small-Business (50 or fewer emp.)
3.0 out of 5
"Machine Learning Models training using Cuda 9.1"
Library are there as most of the hassle free work is done through them

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4 AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook Reviews

3.9 out of 5
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Verified User in Computer Software
UC
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook?

The best thing is the minimal installation hassle generally we have to check which packages are compatible with which version of other. But here we dont have to go through any of that bullshit. Review collected by and hosted on G2.com.

What do you dislike about AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook?

I used the sandbox version, so it works great overall but highly dependent on the system configuration of my own system. So in this usecase colqb works much better. But there is also the thing about uploading datasets to drive in case of colab. So overall its fine. Review collected by and hosted on G2.com.

Recommendations to others considering AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook:

If you have problem with datasets uploading and have a great system then go for it. Review collected by and hosted on G2.com.

What problems is AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook solving and how is that benefiting you?

I am working on my personal nlp projects of topic modelling and cnn problem of image segmentation. I am not personally benefitting from it financially though as there are a lot of options in the market. Review collected by and hosted on G2.com.

Praveen K.
PK
Deep Learning, Cloud, AI/ML, RPA, IoT, Hyperautomation
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook?

Love the integrations and pre built readiness with Tensorflow, Keras, GPU, cuDNN

I have used Tensorflow with cuDNN for my projects Review collected by and hosted on G2.com.

What do you dislike about AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook?

Some of my interns want to try it out and not sure if they can play around without paying money

We work on Reinforcement Learning and some pre built features or ai gym like environments would be nice Review collected by and hosted on G2.com.

What problems is AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook solving and how is that benefiting you?

Object detection problems for visually impaired (blind), terrorism detection models, audio analysis

It's good to use AISE due to the ease of use and not having to worry about too many things related to setting up Review collected by and hosted on G2.com.

Muhammad H.
MH
Associate Software Engineer
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook?

Library are there as most of the hassle free work is done through them Review collected by and hosted on G2.com.

What do you dislike about AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook?

More libraries should be part of this so productivity increases. Review collected by and hosted on G2.com.

What problems is AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook solving and how is that benefiting you?

Textual data labelling like sentiments labelling Review collected by and hosted on G2.com.

Verified User in Computer Software
CC
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook?

Continuous integration and deployment workflows it helps to run execution environment for trainng interference and running a api services Review collected by and hosted on G2.com.

What do you dislike about AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook?

We can add more packages to this notebook and update notification should be provided for new changes and packages Review collected by and hosted on G2.com.

What problems is AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook solving and how is that benefiting you?

Iam solving tensorfloe and deep learning use case for running maximum epocs on the set of images to check for the images calssification Review collected by and hosted on G2.com.