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#callforpaper #manuscripts #deeplearning #covid
NEURAL NETWORKS AND DEEP LEARNING-BASED
APPROACHES FOR COVID-19 DISEASE (NDCOV-19)
@llbschool @letslearbioinformatics
NEURAL NETWORKS AND DEEP LEARNING-BASED
APPROACHES FOR COVID-19 DISEASE (NDCOV-19)
@llbschool @letslearbioinformatics
#llbfutura
#Deeplearning
#AI
#Neuralnetwork
#Environmentalengineering
Online FDP on Deep Learning for Visual Computing & Communications by NIT Patna [Oct 15-21]: Register by Oct 14
https://docs.google.com/forms/d/e/1FAIpQLScP-YSdugPZLPj7TW10TIXDzgXJKFfDqyr6iIA4OXkFzh4rBg/viewform
@llbschool
#Deeplearning
#AI
#Neuralnetwork
#Environmentalengineering
Online FDP on Deep Learning for Visual Computing & Communications by NIT Patna [Oct 15-21]: Register by Oct 14
https://docs.google.com/forms/d/e/1FAIpQLScP-YSdugPZLPj7TW10TIXDzgXJKFfDqyr6iIA4OXkFzh4rBg/viewform
@llbschool
#loopsandstrands #external #tutorial #deeplearning
Tutorial:
Diagnose Latent Cytomegalovirus Using CyTOF Data and Deep Learning
A deep neural network (a.k.a. deep learning) is an artificial neural network with multiple layers between the input and output layers. It was proven to be highly effective for a variety of predictive tasks. In health care, deep learning is quickly gaining popularity and has been implemented for applications such as image-based diagnosis and personalized drug recommendations. In this tutorial, we will build a tailored deep-learning model for CyTOF data to diagnosis latent Cytomegalovirus infection using Keras and TensorFlow. To run this tutorial, download the github repository and run the jupyter notebook.
Find the tutorial here:
https://immport.org/resources/deeplearning
Stay tuned for more updates on LLB/external bioinformatics tutorials www.llbschool.org/magazine
@letslearnbioinformatics
Tutorial:
Diagnose Latent Cytomegalovirus Using CyTOF Data and Deep Learning
A deep neural network (a.k.a. deep learning) is an artificial neural network with multiple layers between the input and output layers. It was proven to be highly effective for a variety of predictive tasks. In health care, deep learning is quickly gaining popularity and has been implemented for applications such as image-based diagnosis and personalized drug recommendations. In this tutorial, we will build a tailored deep-learning model for CyTOF data to diagnosis latent Cytomegalovirus infection using Keras and TensorFlow. To run this tutorial, download the github repository and run the jupyter notebook.
Find the tutorial here:
https://immport.org/resources/deeplearning
Stay tuned for more updates on LLB/external bioinformatics tutorials www.llbschool.org/magazine
@letslearnbioinformatics
#webinar #deeplearning #AI #ml #bioinformatics
Getting started with deep learning
Are you wondering what deep learning is and how it might be useful in your research? This high level overview will introduce deep learning ‘in a nutshell’ and provide tips on which concepts and skills you will need to know to build a deep learning application. The presentation also provides pointers to various resources you can use to get started in deep learning.
Who the webinar is for: Complete beginners in machine learning, deep learning, or programming, who want to investigate the potential application of AI systems in their research.
Presenter: Dr Titus Tang, Senior Deep Learning Engineer, Data Science and AI Platform, Monash University
Date/time: 21 July 2021 - 12:00-13:00 AEST / 11:30 - 12:30 ACST / 10:00-11:00 AWST
How to join: This webinar is free to join but you must register for a place in advance.
Register here
📢______
@llbschool
@letslearnbioinformatics
Getting started with deep learning
Are you wondering what deep learning is and how it might be useful in your research? This high level overview will introduce deep learning ‘in a nutshell’ and provide tips on which concepts and skills you will need to know to build a deep learning application. The presentation also provides pointers to various resources you can use to get started in deep learning.
Who the webinar is for: Complete beginners in machine learning, deep learning, or programming, who want to investigate the potential application of AI systems in their research.
Presenter: Dr Titus Tang, Senior Deep Learning Engineer, Data Science and AI Platform, Monash University
Date/time: 21 July 2021 - 12:00-13:00 AEST / 11:30 - 12:30 ACST / 10:00-11:00 AWST
How to join: This webinar is free to join but you must register for a place in advance.
Register here
📢______
@llbschool
@letslearnbioinformatics
#AI #ML #deeplearning #webinar
⚙ National Webinar on "AI & ML - Core Engineering Applications & Career Opportunities"
No pre registration required.
📱 Gmeet link
📢________
@llbschool
@letslearnbioinformatics
📥 External posts can be shared via @llbshare_bot
⚙ National Webinar on "AI & ML - Core Engineering Applications & Career Opportunities"
No pre registration required.
📱 Gmeet link
📢________
@llbschool
@letslearnbioinformatics
📥 External posts can be shared via @llbshare_bot
#resources #literature #deeplearning
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
https://github.com/graph4ai/graph4nlp_literature
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@llbschool
@letslearnbioinformatics
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
https://github.com/graph4ai/graph4nlp_literature
📢_____
@llbschool
@letslearnbioinformatics
GitHub
GitHub - graph4ai/graph4nlp_literature: This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP - graph4ai/graph4nlp_literature
#article #bioinformatics
📜This Article Introduces You to "Ensemble #deeplearning in bioinformatics".
Author Insights us about key developments in ensemble deep learning and how it can be applied to the field of bioinformatics and the research, development, and challenges of ensemble deep learning from basic sequence analysis to systems biology.
📚 Read more about
▪️Deep learning: Main idea
▪️Fundamentals of Ensemble and Deep Learning
▪️Integrated Deep Learning
▪️Application of ensemble deep learning in biomedical field
▪️Challenges and opportunities in Deep learning
🖇 Read full article
📊published in Nature machine intelligence
✍by
📢««««««««
channel @llbschool
Forum @letslearnbioinformatics
📜This Article Introduces You to "Ensemble #deeplearning in bioinformatics".
Author Insights us about key developments in ensemble deep learning and how it can be applied to the field of bioinformatics and the research, development, and challenges of ensemble deep learning from basic sequence analysis to systems biology.
📚 Read more about
▪️Deep learning: Main idea
▪️Fundamentals of Ensemble and Deep Learning
▪️Integrated Deep Learning
▪️Application of ensemble deep learning in biomedical field
▪️Challenges and opportunities in Deep learning
🖇 Read full article
📊published in Nature machine intelligence
✍by
Professor Jean Yang's research group 📢««««««««
channel @llbschool
Forum @letslearnbioinformatics
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#workshop #deeplearning
A Hands-on-Workshop on DEEP LEARNING
🗓Date : 25th June 2022
⏰Time : 09:30 to 05:30
Prerequisite : An understanding of OOPS Concepts.
👨💻Registration Link : www.tinyurl.com/iardlw2022
📢«««««««
@llbschool
@letslearnbioinformatics
A Hands-on-Workshop on DEEP LEARNING
🗓Date : 25th June 2022
⏰Time : 09:30 to 05:30
Prerequisite : An understanding of OOPS Concepts.
👨💻Registration Link : www.tinyurl.com/iardlw2022
📢«««««««
@llbschool
@letslearnbioinformatics
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#resource #deeplearning #drugdiscovery #Bioinformatics
"Unlocking the Potential of Deep Learning for Advancing Drug Discovery"
It is understandable that drug hunters' interest in DL models is expanding given the triumphs of deep learning in a number of scientific and technological sectors.
It is crucial to note that prominent machine-learning libraries used in drug discovery pipelines have benefited greatly from the integration of DL using open-source tools like GraphInvent, DeepChem, DeepDocking, etc. If you're interested in learning more about how DL is used in drug discovery.
👨💻 Checkout link for articles👇
https://telegra.ph/Unlocking-the-Potential-of-Deep-Learning-for-Advancing-Drug-Discovery-01-06
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✍ If you are aware of any other such resources, please mention them in the comments.
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📢«««««««
Channel @llbschool
Forum @letslearnbioinformatics
"Unlocking the Potential of Deep Learning for Advancing Drug Discovery"
It is understandable that drug hunters' interest in DL models is expanding given the triumphs of deep learning in a number of scientific and technological sectors.
It is crucial to note that prominent machine-learning libraries used in drug discovery pipelines have benefited greatly from the integration of DL using open-source tools like GraphInvent, DeepChem, DeepDocking, etc. If you're interested in learning more about how DL is used in drug discovery.
👨💻 Checkout link for articles👇
https://telegra.ph/Unlocking-the-Potential-of-Deep-Learning-for-Advancing-Drug-Discovery-01-06
.
.
✍ If you are aware of any other such resources, please mention them in the comments.
.
.
📢«««««««
Channel @llbschool
Forum @letslearnbioinformatics
Telegraph
"Unlocking the Potential of Deep Learning for Advancing Drug Discovery"
Deep learning is becoming increasingly important in the field of drug discovery, with potential applications ranging from target identification and validation to drug design and repurposing. By leveraging the power of deep learning models, researchers are…
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Next Cambridge #Cheminformatics Meeting!
🗓7 June (Wed), 4pm UK
🎥HYBRID: at the CCDC - The Cambridge Crystallographic Data Centre / on Zoom
Free, hybrid, open to all!
✳️Topics to be covered:
- Diffusion models for structure-based design w/ Charlie Harris, Cambridge University
- Compound extraction via deep learning in DECIMER w/ Kohulan Rajan, Jena University
- Distributed HPC workflows in quantum/classical frameworks with Covalent w/ Will Cunningham, Agnostiq
🌐Direct registration on Zoom:
https://zoom.us/meeting/register/tJcsceuqrzsiHtWRLbOsYTouSI00uGYzq81B
#AI #drugdiscovery #deeplearning
📢➖➖➖➖➖
Follow us for more!
@llbschool
@bioinfo_forum
🗓7 June (Wed), 4pm UK
🎥HYBRID: at the CCDC - The Cambridge Crystallographic Data Centre / on Zoom
Free, hybrid, open to all!
✳️Topics to be covered:
- Diffusion models for structure-based design w/ Charlie Harris, Cambridge University
- Compound extraction via deep learning in DECIMER w/ Kohulan Rajan, Jena University
- Distributed HPC workflows in quantum/classical frameworks with Covalent w/ Will Cunningham, Agnostiq
🌐Direct registration on Zoom:
https://zoom.us/meeting/register/tJcsceuqrzsiHtWRLbOsYTouSI00uGYzq81B
#AI #drugdiscovery #deeplearning
📢➖➖➖➖➖
Follow us for more!
@llbschool
@bioinfo_forum
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