#Deeplearningmodels

How to deploy #MachineLearning #DeepLearningModels to the web #AI #DataScience

##DeepLearningModels do not outperform simple baseline methods in predicting transcriptomic effects of genetic perturbations, highlighting the need for rigorous benchmarking in computational biology. @naturemethods @nature

Explore Ducho’s real-world demos in fashion and music recommendation, leveraging visual, textual, and audio features for AI-driven recommendations. - #deeplearningmodels #duchoframework

Online now: How deep can we decipher #ProteinEvolution with #DeepLearningModels

Do dataset sizes impact #DeepLearning Models? #DeepLearningModels #AI #DataModelling #Focaloidblog

DON'T MISS Dr. McArdle's @pmlsummit talk this Thurs 9/14 featuring Orion data utilizing @QuPath for #imagevisualization, #cellsegmentation via #deeplearningmodels, #cellphenotyping, and #spatialanalysis. For free registration: #spatialbiology

Our teams tackle the greatest #bioinformatics challenges and constantly expand their knowledge of new #deeplearningmodels and architectures for processing #sequentialdata. Join us to find your challenge!

🚗 This paper addresses the vulnerability of #deeplearningmodels in the perception systems of autonomous driving systems (#ADSs) to adversarial #attacks. 👉

Dr. McArdle's @pmlsummit talk on 9/14 will feature Orion data being used with @QuPath for #imagevisualization, #cellsegmentation via #deeplearningmodels, #cellphenotyping, and #spatialanalysis. For free conference registration: #spatialbiology

Can #deeplearning be used to improve #timeseries forecasts? In this illustrative use case that looks at daily stock market price predictions, get the answers from both a theoretical and practical perspective: | | #deeplearningmodels #forecasting

Ducho extracts textual features from product descriptions and user reviews using multilingual BERT for sentiment analysis, refining AI-powered recommendations. - #deeplearningmodels #duchoframework

Deep Learning models are reshaping AI: CNNs for image analysis, RNNs for text, Transformers for NLP, and GANs for realism. Explore the possibilities with us! #DeepLearningModels #NLP #CNN #RNN #TenUpSoftwareServices

Yesterday we had a #seminar in the AC& #machinelearning thematic area at @KTHuniversity. We were delighted to have @eigensteve with us, who gave a very exciting presentation and discussed the potential of #deeplearningmodels and #ai in #fluidmechanics!!

#DeepLearningModels can recognize complex patterns in #BigData and make predictions, learning by example. This is similar to how our brain works. Explore #DeepLearning broad application potential and how it revolutionizes industries worldwide 👉🏻

Dr. @Shehroz_Skhan and Zakary Georgis-Yap at @KITE_UHN have developed #DeepLearningModels to predict epileptic seizures—offering new hope for #epilepsy management. Read more >

The October edition of the Digital Trust and Security Series has started💡! Dr Youcheng Sun (@theyoucheng), @OfficialUoM Lecturer in #cybersecurity, is discussing the intellectual property protection of #deeplearningmodels🖥️. Follow along to see what we get up to! @UoM_CDTS #AI

Build production-ready models in minutes!!! @PerceptiLabs has created a #visualmodeling tool that's easily builds and interprets #deeplearningmodels. Learn more & see their demo at #EVS21: | Save 10% on passes: SUMMITSOCIAL21 95+ talks, demos & networking.

Tnapo Quantify GDP(Gross Domestic Product) Predictions with Machine Learning Models to track the economic health of the industries within a country. Read more at #GDPpredictions #machineLearningmodels #deeplearningmodels #tnapo #grossprofits

On the subject of benchmarks, most of businesses have simple (free) benchmarks which are usually a great first start in forecasting. Beware of data scientists throwing LSTM, Transformers and other complicated #deeplearningmodels at the problems without first establishing simple benchmarks that are agreed with the business. Below is a simple seasonal naive benchmark forecast on the electricity dataset that I have used in several of my Medium articles. It was produced 𝕨𝕚𝕥𝕙 𝕔𝕠𝕦𝕡𝕝𝕖 𝕠𝕗 𝕝𝕚𝕟𝕖𝕤 𝕠𝕗 𝕔𝕠𝕕𝕖 𝕦𝕤𝕚𝕟𝕘 𝔻𝕒𝕣𝕥𝕤 from Unit8 that I have extensively highlighted throughout 2021, great work by Julien Herzen and team. What this clearly illustrates is that free out of the box forecasts are often quite good and unless #datascientists can demonstrate that their forecasting models are better by robustly measuirng forecast value added months and often years of corporate resources should not be needlessly invested into spinning expensive deep learning models that in 99.9% cases ᴅᴏ ɴᴏᴛ ᴀɴʏ ᴠᴀʟᴜᴇ ᴛᴏ ᴍᴏꜱᴛ ᴏꜰ ᴛʜᴇ ᴄᴏᴍᴘᴀɴɪᴇꜱ. 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐈𝐬 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐃𝐨 𝐍𝐨𝐭 𝐍𝐞𝐞𝐝 #business #electricity #timeseries #machinelearning #forecasting #deeplearning

"Bigger is not always better." While we don't usually hear this when thinking about #MachineLearning, @finkatronic argues strongly for sizing down #DeepLearningModels and that this could open the doors for smaller companies. #AI #ML