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.
Easy configurable AMI with pre-installed Deep Learning GPU TensorFlow 2.9 on Amazon Linux Server
INSTALLATION VIA AWS MARKETPLACE
Kindly click on the below link to install the server via AWS Marketplace:
To verify the installation, follow the below instructions
Step 1. Connect to SSH
In a terminal window, use the ssh command to connect to the instance. You specify the user name for your instance, and the public DNS name or IPv6 address for your instance, the path and file name of the private key (.pem).
ssh ec2-user@publicIP -i [Path of key pair file]
If it shows access denied message run the following command , then run the above command again to connect via ssh.
chmod 400 [Path of key pair file]