#deep_learning

[edujournalblogs]

Use Cases in Deep Learning

Deep Learning is a subset of Machine wherein we are training neural network models with datasets varying with complexity. We can identify patterns from our inputs which can be used to make predictions. Also, we can re-use the trained data derived from the model in other similar type of application which is known as Transfer Learning (TL).

Popular Models for doing Image Classification

MobileNetV2

ResNet50 by Microsoft Research

InceptionV3 by Google Brain team

DenseNet121 by Facebook AI Research

Smaller the algorithm, the faster the prediction time.

Use Cases:

Automatic speech recognition Image recognition Drug discovery and toxicology Customer relationship management Virtual Assistants (like Alexa, Siri, and Google Assistant). Self Driving Cars. News Aggregation and Fraud News Detection. Natural Language Processing. Entertainment Healthcare

Check out our master program in Data Science and ASP.NET- Complete Beginner to Advanced course and boost your confidence and knowledge.

URL: www.edujournal.com

[phonemantra-blog]

Almost all parameters are unknown The Chinese company Loongson produces not only some of the most modern Chinese processors, but also GPUs. And its new development is designed to compete with Nvidia accelerators for AI, although they are far from the most productive and modern. [caption id="attachment_85288" align="aligncenter" width="600"] Loongson introduced LG200 AI accelerator[/caption] The accelerator (or its GPU) is called LG200. The characteristics of this solution, unfortunately, are unknown. The block diagram shows that the GPU consists of 16 small ALUs, four large ALUs, and one huge ALU or special purpose unit. Loongson introduced LG200 AI accelerator But the performance is known, albeit for the whole node: from 256 GFLOPS to 1 TFLOPS. Here, unfortunately, the details are again unknown, so it is unclear for which mode the performance is indicated, but even if it is FP64, the figure is quite modest, since modern monsters Nvidia and AMD offer 50-60 TFLOPS or more. At the same time, Loongson’s solution is a GPGPU, that is, it supports general-purpose computing. Unfortunately, there are no details here yet. Separately, we can recall that Loongson promised next year to release a video card that can compete with the Radeon RX 550 , whose performance (FP32) is just over 1.1 TFLOPS. It is possible that the LG200 will be a direct relative of this adapter.

[devsnews]

This blog post will explore the case for Rust in deep learning and why it may be a better option than Python. With its ability to handle complexity through safe and concurrent abstractions, Rust has the potential to tackle this field's most significant challenges in a way that Python cannot.

[jobrxiv]

PhD position in Generative Model for Protein Conformations Lund University PhD position in Generative Model for Protein Conformations See the full job description on jobRxiv: https://jobrxiv.org/job/lund-university-27778-phd-position-in-generative-model-for-protein-conformations/?feed_id=82799 #deep_learning #Deeping_learning_and_protein_structure #protein_design #ScienceJobs #hiring #research

[surens-inffotek-page]

In recent years, AI and ML have been able to enrich the biotechnology domain due to analogous transformation of biotech information. With the huge amount of data available now the Biotechnology scientists mostly rely on artificial intelligence and machine learning to parse through the huge data lakes, carrying out the data analysis tasks, and productively progress at a faster pace

To know more about the AI's exploring roles and applications visit www.surensinffotek.com & take a glance at our Blog page for most trending professional Technology-Based latest Articles www.surensinffotek.com/blog

Or you can watch videos related to the topic at our Youtube channel - https://www.youtube.com/cha…/UCZB8KXoK0GzQ9wxAtORaO_g/videos

[algodocs]

[info4mee]

AlgoDocs review 2022 Extracts text from PDFs & images for free

Automatic data extraction platform like AlgoDocs helps firms pull data from various sources like PDFs and images quickly, easily and securely. It permits businesses to save costs and time, decrease manual errors, improve their datadriven decisions and save employees from complicated tasks. to read the article click here  

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[ultravibhusingh]

Ten Explanations on why Deep learning is important.

A structured format of programming language has hidden layers that can readily increasing learning and a hypothetical approach. But it is a practical definition of deep learning for understanding critical programming terms. Like, artificial intelligence and machine learning comes under the proficiency of innovation tools and developing techniques for current synopsis.

read more: https://bit.ly/2L4H9F7

[juandacorrea]

A math idea that may dramatically reduce the dataset size needed to train AI systems: A pair of statisticians at the University of Waterloo has proposed a math process idea that might allow for teaching AI systems without the need for a large dataset. Ilia Sucholutsky and Matthias Schonlau have written a paper describing their idea and published it on the arXiv preprint server. via Pocket https://ift.tt/31AksOO

[technoinuniverse-blog]

Learn how to capture millions of data points, processing the information and making decisions in seconds through  Artificial Intelligence & Deep Learning with Tensorflow.

Learn more :- http://bit.ly/2YNRxU0

[edujournalblogs]

An introduction to Computer Vision

Computer Vision with deep learning is another advanced technique that employs neural networks to process and analyze visual data, such as images and videos. With deep learning, Computer Vision has become more accurate and sophisticated, enabling machines to perform highly accurate tasks such as object detection, image recognition, facial recognition, and scene segmentation. CNNs are the most commonly used deep learning models in Computer Vision because they can extract features from images and learn spatial relationships between objects.

Computer Vision applications based on deep learning have numerous practical applications in various industries, including healthcare, automotive, retail, and security. Some examples include self-driving cars, medical image analysis, surveillance systems, and augmented reality. The advancements in deep learning have enabled machines to understand the world through visual data, making computer vision an essential component in developing intelligent systems.

Check out our master program in Data Science and ASP.NET- Complete Beginner to Advanced course and boost your confidence and knowledge.

URL: www.edujournal.com

[phonemantra-blog]

Jensen Huang expressed commitment to the Chinese market Nvidia CEO Jensen Huang believes that the United States is still far from independence in the semiconductor manufacturing market. [caption id="attachment_85069" align="aligncenter" width="780"] Nvidia[/caption] According to Huang, it will be another 10 to 20 years before the United States stops being dependent on Taiwanese and Chinese chip makers. Of course, this is provided that all these years the country’s course will be aimed at getting rid of this very dependence. The head of Nvidia thinks so The United States has been working for quite some time to open chip production factories within the country, but it cannot be said that very many of these factories have already been built there. Huang also noted that, despite US sanctions, Nvidia will continue to work with the Chinese market, as it is simply the largest. Let us remind you that yesterday it became known that instead of the banned RTX 4090, the company will create GeForce RTX 4090 D (Dragon) especially for China .

[devsnews]

Learning Machine Learning and Deep Learning are essential for developers because they enable them to create applications that can make decisions and perform tasks autonomously. ML and DL allow developers to build systems that can learn from data and predict future events. This can be applied to various tasks, such as image recognition, natural language processing, and autonomous driving. With ML and DL, developers can create more innovative applications that can make better decisions, increasing the efficiency and accuracy of their applications. This article will introduce us to 15 free Machine Learning and Deep Learning books.

[jobrxiv]

PhD position in Generative Model for Protein Conformations Lund University PhD position in Generative Model for Protein Conformations See the full job description on jobRxiv: https://jobrxiv.org/job/lund-university-27778-phd-position-in-generative-model-for-protein-conformations/?feed_id=82400 #deep_learning #Deeping_learning_and_protein_structure #protein_design #ScienceJobs #hiring #research

[businessalgerie]

Les chercheurs de Google Brain ont mis au point un système d'intelligence artificielle (IA) qui a créé son propre enfant. Plus d'information : www.businessalgerie-dz.com Vous voulez un consultant, rien de plus simple contactez nous sur le site. #soulaoualid #businessalgerie #ia #google #machine #deep_learning #follow #likesforlikes #followforfollow #like4like #followall #comments #ilike #followbackteam #likeforlike #followhim #followher #pharma #instamood #instagood #love #tbt #fun #health #instadaily #igdaily (à Algiers, Algeria) https://www.instagram.com/p/B0GU1uWAjvq/?igshid=kq882mp1uzls