Cutting Edge Deep Learning
258 subscribers
193 photos
42 videos
51 files
363 links
πŸ“• Deep learning
πŸ“— Reinforcement learning
πŸ“˜ Machine learning
πŸ“™ Papers - tools - tutorials

πŸ”— Other Social Media Handles:
https://linktr.ee/cedeeplearning
Download Telegram
πŸ”ΉNeural networks facilitate optimization in the search for new materials

Sorting through millions of possibilities, a search for battery materials delivered results in five weeks instead of 50 years. When searching through theoretical lists of possible new materials for particular applications, such as batteries or other energy-related devices, there are often millions of potential materials that could be considered, and multiple criteria that need to be met and optimized at once.

πŸ“ŒVia: @cedeeplearning

link: http://news.mit.edu/2020/neural-networks-optimize-materials-search-0326

#MIT
#deeplearning
#neuralnetworks
#imagedetection
πŸ”ΉNew Visual Relationships, Human Actions, and Image-Level Annotations

Open Images V6 is a significant qualitative and quantitative step towards improving the unified annotations for image classification, object detection, visual relationship detection, and instance segmentation, and takes a novel approach in connecting vision and language with localized narratives. We hope that Open Images V6 will further stimulate progress towards genuine scene understanding.
β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”
πŸ“ŒVia: @cedeeplearning
πŸ“ŒSocial media: https://linktr.ee/cedeeplearning

Credit: ai.googleblog.com

#classification
#machinelearning
#deeplearning
#imagedetection
πŸ”ΉFROM DETECTING CANCER TO SURGICAL HYPERTENSION, MACHINE LEARNING IS POWERFUL
by Priya Dialani

Machine learning models could furnish doctors and masters with data that will help prevent readmissions or other treatment options, or help forestall things like delirium, current areas of active improvement. Notwithstanding blood pressure, machine learning could locate an extraordinary use in the ICU, in predicting sepsis, which is critical for patient survival. Having the option to process that data in the ICU or in the emergency department, that would be a critical zone to utilize these machine learning analytics models.
β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”
πŸ“ŒVia: @cedeeplearning

https://www.analyticsinsight.net/from-detecting-cancer-to-surgical-hypertension-machine-learning-is-powerful/

#machinelearning
#deeplearning
#datascience #healthcare
#neuralnetworks
#imagedetection
#computervision
πŸ”»THE RISE OF COMPUTER VISION TECHNOLOGY

πŸ–Šby Preetipadma

A lot of factors have contributed to the revolutionizing success of AI. Computer Vision is one of those driving elements. It is a sequential integration of three distinct processes, i.e. acquisition of images or visual stimuli from the real world in the form of binary data, image processing in form of edge detection, segmentation matching and lastly analysis and interpretation. From augmented reality games to self-driving cars to Apple’s Facial Unlock feature, it has deeply impacted our life. And this influence is not free of consequences. However, on the flip side, it has been welcomed with generally encourage reviews.
β€”β€”β€”β€”β€”β€”β€”β€”β€”
πŸ“ŒVia: @cedeeplearning

link: https://www.analyticsinsight.net/the-rise-of-computer-vision-technology/

#computervision #deeplearning
#neuralnetworks #imagedetection
#selfdrivingcars #machinelearning
πŸ‘†πŸ»πŸ‘†πŸ»πŸ‘†πŸ»
πŸ”»Tech one, escape zero: Bodycams evolve with facial recognition

πŸ”ΉFacial recognition (FR) is enjoying a positive reception and widespread application these days. Enterprise, law enforcement and consumers are adopting FR to facilitate everything from administrative tasks, arresting suspects and unlocking cellphones. Although statistics that show law enforcement benefiting from employing facial recognition are still fresh, and typically center on petty criminals to date, many airports all over the world (but notably in the US) are also employing the technology for security and ease of boarding purposes.

πŸ”ΉSold to customers on the back of improved boarding speeds, airports are ideal venues to witness the facial recognition-enhanced consumer experience, while merging it with security concerns.

πŸ”ΉAmerican police officers have begun employing live facial recognition in their bodycams, a move authorities insist will aid police in their tasks and eliminate human error.
β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”
πŸ“ŒVia: @cedeeplearning
πŸ“ŒOther social media: https://linktr.ee/cedeeplearning

link: https://www.analyticsinsight.net/tech-one-escape-zero-bodycams-evolve-facial-recognition/

#facerecognition #facial_recognition
#imagerecognition #imagedetection
#deeplearning #neuralnetworks
πŸ”»DEEP LEARNING TO ANALYSE HUMAN ACTIVITIES RECORDED ON VIDEOS

by Kamalika Some

Analyzing live videos by leveraging deep learning is the trendiest technology aided by computer vision and multimedia analysis. Analysing live videos is a very challenging task and its application is still at nascent stages. Thanks to the recent developments in deep learning techniques, researchers in both computer vision and multimedia communities have been able to gather momentum to drive business processes and revenues.
β€”β€”β€”β€”β€”β€”β€”β€”
πŸ“ŒVia: @cedeeplearning

https://www.analyticsinsight.net/deep-learning-to-analyse-human-activities-recorded-on-videos/

#deeplearning #imagedetection
#neuralnetworks #computervision
#machinelearning #trend #AI
πŸ”— Build your Own Object Detection Model using #TensorFlow API

πŸ”»The World of Object Detection

πŸ”ΉOne of my favorite computer vision and deep learning concepts is object detection. The ability to build a model that can go through images and tell me what objects are present – it’s a priceless feeling!

πŸ‘ Nice reading article
β€”β€”β€”β€”β€”β€”
πŸ“ŒVia: @cedeeplearning

https://www.analyticsvidhya.com/blog/2020/04/build-your-own-object-detection-model-using-tensorflow-api/

#object_detection
#imagedetection
#deeplearning #computervision
#AI #machinelearning
#neuralnetworks