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    Theano on Ubuntu 24.04 with maintenance support by kCloudHubs

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    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for seller support.Theano is a Python library designed for fast numerical computation. It allows users to define mathematical expressions symbolically and then compiles them into optimized code that runs efficiently on CPUs or GPUs. It became popular in early deep learning research because it could handle complex matrix operations and automatic differentiation. Although it is no longer actively developed, it is still useful for understanding the foundations of machine learning frameworks.

    Overview

    This is a repackaged open source software product wherein additional charges apply for support.Theano is an open source Python library that focuses on efficient numerical computation using symbolic mathematics. It allows developers to define mathematical expressions in a high level way and automatically converts them into optimized low level code. This makes it very powerful for tasks involving large scale matrix operations and complex mathematical models. One of its key features is automatic differentiation which helps in computing gradients required for training machine learning models.

    Theano was widely used in the early development of deep learning and served as the backend for several important frameworks. It supports execution on both central processing units and graphics processing units which improves performance significantly for heavy computations. The library also includes tools for optimizing code, reducing redundant calculations, and improving execution speed.

    Despite its strengths, Theano is now considered outdated because newer libraries provide better performance and easier usability. Modern frameworks have built upon its ideas and offer more flexibility and community support.

    Highlights

    • Theano enables symbolic mathematical computation in Python
    • Supports efficient execution on CPU and GPU
    • Provides automatic differentiation for machine learning models

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
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    Pricing

    Theano on Ubuntu 24.04 with maintenance support by kCloudHubs

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (21)

     Info
    Dimension
    Cost/hour
    m4.large
    Recommended
    $0.07
    t2.micro
    $0.01
    t3.micro
    $0.07
    t3.nano
    $0.07
    t3.medium
    $0.07
    t2.2xlarge
    $0.07
    t2.medium
    $0.07
    t2.large
    $0.07
    r3.large
    $0.07
    r4.large
    $0.07

    Vendor refund policy

    No refund

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    Legal

    Vendor terms and conditions

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    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Packaged with latest updates as of April/2026

    Additional details

    Usage instructions

    Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  - Run the following commands: #sudo su

    cd /opt

    #source theano-env/bin/activate #python -c "import theano; print(theano.version)"

    Support

    Vendor support

    Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: meha@kcloudhubs.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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