Get Cloud Ready!

Janakiram MSV

Subscribe to Janakiram MSV: eMailAlertsEmail Alerts
Get Janakiram MSV: homepageHomepage mobileMobile rssRSS facebookFacebook twitterTwitter linkedinLinkedIn


Related Topics: Time Series Journal

Blog Feed Post

Nvidia DIGITS — An Easy Way to Get Started with Deep Learning

Deep learning differs from traditional machine learning techniques in that they can automatically learn representations from data such as images, video or text, without introducing hand-coded rules or human domain knowledge. Their highly flexible architectures can learn directly from raw data and can increase their predictive accuracy when provided with more data.

Modern artificial intelligence that powers self-driving cars, cancer detection, intelligent voice assistants, and fraud detection in the financial sector are powered by neural networks.

Even though DNNs are much powerful than traditional machine learning algorithms, they are difficult to learn and implement. The complex computation performed by the neurons is delegated to Graphics Processing Unit (GPU) where multiple cores are exploited to parallelize the calculations. This architecture makes debugging neural networks extremely hard.

Multiple frameworks such as TensorFlow, Microsoft Cognitive Toolkit (CNTK), Apache MXNet, and PyTorch are used to build DNNs. These frameworks are designed to take advantage of underlying GPU infrastructure to perform faster computation.

Developers often find it difficult to get started with DNNs due to the steep learning curve. Within DNNs, there are different approaches for dealing with images, video, voice, text, and time-series data. For examples, Convolutional Neural Networks (CNN) are used for classifying images. Face detection, face recognition, object detection, and video analytics employ advanced CNN techniques. Natural Language Processing (NLP) relies on Recurrent Neural Networks (RNN) to perform advanced text analytics. Long Short-Term Memory (LSTM) algorithm is used with time-series data for predictive analytics.

Different deep learning toolkits are preferred for dealing with different scenarios. The complexity of neural networks combined with the fragmentation of toolkits makes it extremely hard to implement DNNs.

Read the entire article at Forbes

Janakiram MSV is an analyst, advisor, and architect. Follow him on Twitter,  Facebook and LinkedIn.

Read the original blog entry...

More Stories By Janakiram MSV

Janakiram MSV heads the Cloud Infrastructure Services at Aditi Technologies. He was the founder and CTO of Get Cloud Ready Consulting, a niche Cloud Migration and Cloud Operations firm that recently got acquired by Aditi Technologies. In his current role, he leads a highly talented engineering team that focuses on migrating and managing applications deployed on Amazon Web Services and Microsoft Windows Azure Infrastructure Services.
Janakiram is an industry analyst with deep understanding of Cloud services. Through his speaking, writing and analysis, he helps businesses take advantage of the emerging technologies. He leverages his experience of engaging with the industry in developing informative and practical research, analysis and authoritative content to inform, influence and guide decision makers. He analyzes market trends, new products / features, announcements, industry happenings and the impact of executive transitions.
Janakiram is one of the first few Microsoft Certified Professionals on Windows Azure in India. Demystifying The Cloud, an eBook authored by Janakiram is downloaded more than 100,000 times within the first few months. He is the Chief Editor of a popular portal on Cloud called www.CloudStory.in that covers the latest trends in Cloud Computing. Janakiram is an analyst with the GigaOM Pro analyst network where he analyzes the Cloud Services landscape. He is a guest faculty at the International Institute of Information Technology, Hyderabad (IIIT-H) where he teaches Big Data and Cloud Computing to students enrolled for the Masters course. As a passionate speaker, he has chaired the Cloud Computing track at premier events in India.
He has been the keynote speaker at many premier conferences, and his seminars are attended by thousands of architects, developers and IT professionals. His sessions are rated among the best in every conference he participates.
Janakiram has worked at the world-class product companies including Microsoft Corporation, Amazon Web Services and Alcatel-Lucent. Joining as the first employee of Amazon Web Services in India, he was the AWS Technology Evangelist. Prior to that, Janakiram spent 10 years at Microsoft Corporation where he was involved in selling, marketing and evangelizing the Microsoft Application Platform and Tools.