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Masterclass of AWS-Deep Learning AMI

The AWS Deep Learning AMI (DLAMI) -> A one stop shop for deep learning in the cloud
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Platform: Udemy
Video: 2h 55m
Language: English
Next start: On Demand

Table of contents


Masterclass of AWS-Deep Learning AMI
Learning about deep learning: The DLAMI is a great choice for learning or teaching machine learning and deep learning frameworks. It takes the headache away from troubleshooting the installations of each framework and getting them to play along on the same computer. The DLAMI comes with a Jupyter notebook and makes it easy to run the tutorials provided by the frameworks for people new to machine learning and deep learning. App development: If you’re an app developer and are interested in using deep learning to make your apps utilize the latest advances in AI, the DLAMI is the perfect test bed for you. Each framework comes with tutorials on how to get started with deep learning, and many of them have model zoos that make it easy to try out deep learning without having to create the neural networks yourself or to do any of the model training. Some examples show you how to build an image detection application in just a few minutes, or how to build a speech recognition app for your own chatbot. Machine learning and data analytics: If you’re a data scientist or interested in processing your data with deep learning, you’ll find that many of the frameworks have support for R and Spark. You will find tutorials on how to do simple regressions, all the way up to building scalable data processing systems for personalization and predictions systems. Research: If you’re a researcher and want to try out a new framework, test out a new model, or train new models, the DLAMI and AWS capabilities for scale can alleviate the pain of tedious installations and management of multiple training nodes. You can use EMR and AWS CloudFormation templates to easily launch a full cluster of instances that are ready to go for scalable training.
Preinstalled Frameworks There are currently two primary flavors of the DLAMI with other variations related to the operating system (OS) and software versions: • Deep Learning AMI with Conda (p. 4) – frameworks installed separately using conda packages and separate Python environments • Deep Learning Base AMI (p. 6) – no frameworks installed; only NVIDIA CUDA and other dependencies The Deep Learning AMI with Conda uses Anaconda environments to isolate each framework, so you can switch between them at will and not worry about their dependencies conflicting. For more information on selecting the best DLAMI for you, take a look at Getting Started (p. 4). This is the full list of supported frameworks by Deep Learning AMI with Conda: • Apache MXNet • Chainer • Keras • PyTorch • TensorFlow • TensorFlow 2

You will learn

✓ This Course will help you launch and use the DLAMI. .
✓ Thorough understanding of Deep Learning
✓ AMI details
✓ Configurations


• You should be familiar with command line tools and basic Python to successfully run the DLAMI.

This course is for

• Students, knowledge seekers in the relevant field,Software engineers,Developers, Executives
An ex-Cisco, GE, HP& JP Morgan Chase.(Data scientist)
Lakshmish academy(Formerly Indira Academy) was found in 2001 with the belief of providing high quality ,in depth courses on Radio diagnosis & Technology, available at affordable price. We strive to serve & change lives by our teaching. We are bunch of Instructors who are Super specialized & Doctorate(PHD) in Computer Science & Data Sciences .We have experience in teaching our subjects for over two decade now .We have helped hundreds of people become champion in the subjects and enabled them to change their lives. Our graduates work at companies like Google, Cisco, and Facebook. The whole effort is for the betterment of students and knowledge sharing. We have been hired to impart the best technical training’s by the companies like GE, Cisco, HP,J P Morgan Chase and Flipkart. We have now focused our time on bringing our classroom teaching experience to an online environment. Join us in this amazing adventure!

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Platform: Udemy
Video: 2h 55m
Language: English
Next start: On Demand

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