Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. TensorFlow can be used in a wide variety of programming languages, including Python, JavaScript, C++, and Java.
Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. Keras reduces developer cognitive load to free you to focus on the parts of the problem that really matter. Keras adopts the principle of progressive disclosure of complexity.
Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo or Open-Source license as applicable. Image may take up to 5-7 minutes for initial launch.
Highlights
- Apps4Rent provides TensorFlow-Keras which is ready to use for Production Environment.
- For any custom build AMI's of your choice contact us on "support@apps4rent.com".
Details
Typical total price
$0.164/hour
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.10 | $0.008 | $0.108 |
t2.micro AWS Free Tier | $0.10 | $0.016 | $0.116 |
t2.small | $0.10 | $0.032 | $0.132 |
t2.medium Recommended | $0.10 | $0.064 | $0.164 |
t2.large | $0.10 | $0.121 | $0.221 |
t2.xlarge | $0.10 | $0.227 | $0.327 |
t2.2xlarge | $0.10 | $0.433 | $0.533 |
t3.nano | $0.10 | $0.01 | $0.11 |
t3.micro AWS Free Tier | $0.10 | $0.02 | $0.12 |
t3.small | $0.10 | $0.039 | $0.139 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open source licenses.
Legal
Vendor terms and conditions
Content disclaimer
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
Additional details
Usage instructions
Connect to your Windows instance via port no. 3389 using RDP *Please refer this article: https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/connecting_to_windows_instance.html Sign-in credentials: Username: Administrator
- You can check the TensorFlow and Keras version through IDLE, which is Python IDE. Perform the steps below:
- Type IDLE in search bar and click on it to open. IDLE Shell will open.
- To print the TensorFlow version in Python, enter: import tensorflow as tf print(tf.version)
- To print the Keras version in Python, enter: import keras print(keras.version)
*Below are the minimum external resources subscriber needs to have to use this product: i) An Internet Connection is required in order for this product to function as expected ii)We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.
Resources
Vendor resources
Support
Vendor support
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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