OVERVIEW
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.
TensorFlow is Google Brain's second-generation system. While the reference implementation runs on single devices, TensorFlow can run on multiple CPUs and GPUs (with optional CUDA and SYCL extensions for general-purpose computing on graphics processing units). TensorFlow is available on 64-bit Linux, macOS, Windows, and mobile computing platforms including Android and iOS.
Its flexible architecture allows for the easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.
Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance.
GOALS
One-click launch
Easy configurable AMI with pre-installed Deep Learning GPU Habana TensorFlow 2.8 on Ubuntu 20.04 Server
INSTALLATION VIA AWS MARKETPLACE
Kindly click on the below link to install the server via AWS Marketplace:
Pending...
GET STARTED
To verify the installation, follow the below instructions
Step 1. Connect to SSH:
Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/.
In the navigation pane, choose Instances.
Select the instance and choose Connect.
Choose SSH Client
Copy the SSH command and paste it into the terminal.
ssh ubuntu@publicIP -i [Path of key pair file]If it shows an access denied message run the following command, then run the above command again to connect via ssh.
chmod 400 [Path of key pair file]Once launched in the Amazon EC2 Service, please connect to the instance via an SSH client using the ec2-user with the key pair associated at launch. Once connected as the ec2-user user, you will be able to sudo to the root user
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