#deepnets search results
Some results based on a small dataset (~1000 images). But @TensorFlow #TensorBoard graphs plotting results from MNIST and other datasets will be demoed at @CodemoAmsterdam beginning of May, using #DeepNets, #CNNs & #LSTMs. #ReLUs is the new #ReLU.
#BigML's CIO explaining step by step how our #Deepnets predicted the #OscarWinners at #2ML18 @Barrabesbiz
Benchmarking Popular Machine Learning Software (30+ algorithms, 50+ datasets from UCI, LIBSVM, MULAN, 10 evaluation metrics) by @bigmlcom's Charles Parker clparker.org/ml_benchmark/ Great to see BigML reducing barrier to entry to using ML and now deep learning. Go #deepnets!
Many thanks to my great colleagues Michael Fonder and Marc Vandroogenbroeck for putting me in the loop for this work! #deepnets #computerVision #depthEstimation #drones 3/3
Coming today from an interesting #ITU_AIForGood webinar: using #DeepLearning to directly predict parameters by exploiting the past knowledge of training other networks. A large-scale dataset of diverse computational graphs of neural architectures, #DeepNets-1M, 1/3
.@pejpgrep BigML’s Chief Infrastructure Officer, explaining at #papisio Europe how BigML #Deepnets predicted the 2018 #OscarWinners with #MachineLearning blog.bigml.com/2018/03/01/pre… @papisdotio
Why are #DeepNeuralNetworks suddenly all the rage? Learn why #BigML #Deepnets offer industry-leading performance when compared with other off-the-shelf #algorithms from popular #MachineLearning libraries. blog.bigml.com/2017/10/04/dee…
#Deepnets are now more #interpretable on #BigML! After using the Automatic Network Search, you can view the configuration for each network composing the final deepnet. #classification #regression #ML made easy bigml.com/whatsnew#view-…
Get to know #Deepnets, an optimized version of #DeepNeuralNetworks, at the #VSSML18 on September 13-14 in #Valencia. #BigML’s Deepnets bring two unique parameter optimization options: Automatic Network Search and Structure Suggestion. bigml.com/events/valenci… @VITEmprende
Guten morgen Leipzig und @CNSorg participants! Find me at the poster session today, P151 on Mooney face image processing in #deepnets vs humans More details here: biorxiv.org/content/10.110… Also check out posters from colleagues @UnimelbBME @Qinwayne P157 & P159
#DeepNets can learn to remember patterns but cannot understand the causal rules that generate these patterns. They can’t abstract to unseen #data, while humans have no difficulty recognizing a blue tree even if they have never seen one. -Alan Yuille, #WAIC, Shanghai
Read "Huawei tops AI Benchmark tests for running deep neural nets on mobile phones" ai-benchmark.com For more, get the app at AppliedSingularity.com/app #AI #MachineLearning #DeepNets
#DeepLearning is an advanced #MachineLearning technique that is challenging to master. However, BigML #Deepnets are packaged to appeal to users from all levels of experience. See it in action with a particle #physics case study. blog.bigml.com/2017/09/28/cas…
Data augmentation is a widely used technique for improving generalization in #deepnets. The model is trained with transformed data (such as rotations, flips, crops), in addition to the original data. It has been a key component for state-of-the-art accuracy in many cases 2/
Learn all about #Deepnets, the #BigML implementation of #DeepNeuralNetworks that offer two unique #ParameterOptimization options: Automatic Network Search and Structure Suggestion. They ensure the best network to solve your problem bigml.com/releases/summe… #MachineLearning
On my way to @sheffielduni to give a talk about my #ML work @BristolMmrl on making object recognition in #deepnets more robust with biological constraints. TL;DR 🤖+🧠=💪
We have a biorxiv paper up on object-scene regularities in the human brain versus #deepnets by Stefania Bracci, Jakob Mraz, myself Gaëlle Leys and @hans_opdebeeck biorxiv.org/content/10.110… Presented at @ecvp2022 #vision #objects #scenes #fmri
#67: @dhinojosa and @kito99 dive into #ai with fellow @Java_Champions @frankgreco and @zsevarac: Visual Recognition ML API for Java, #DeepNets, #StableDiffusion, #ChatGPT, #OpenJDK Panama, #Llma 2, #PromptEngineering, #ApacheZeppelin, #Tensorboard, #H2O.ai, #Spark, and more!
Are you familiar with #Deepnets? Check this out and learn all about #BigML’s implementation of #DeepNeuralNetworks that offer two unique parameter optimization options: Automatic Network Search and Structure Suggestion. bigml.com/releases/summe… #NoCode #MachineLearning
From CNNs to LSTMs, these deep learning algorithms help machines process data with human-like accuracy. #AItraining #DeepNets #MachineLearning andrewroche.ai/deep-learning-…
Deep neural networks layer artificial neurons, powering advanced AI tasks like speech recognition or self-driving. #DeepNets #LayeredLearning #AI andrewroche.ai/deep-neural-ne…
#67: @dhinojosa and @kito99 dive into #ai with fellow @Java_Champions @frankgreco and @zsevarac: Visual Recognition ML API for Java, #DeepNets, #StableDiffusion, #ChatGPT, #OpenJDK Panama, #Llma 2, #PromptEngineering, #ApacheZeppelin, #Tensorboard, #H2O.ai, #Spark, and more!
Following on with another example of out-of-distribution stimuli in #deepnets…. Tomorrow I present work @CogCompNeuro on Mooney faces in discriminative and generative neural networks Sat, 26 Aug, 13:00 - 15:00 North Schools (upstairs) Posters 3A 43 2023.ccneuro.org/view_paper.php…
Guten morgen Leipzig und @CNSorg participants! Find me at the poster session today, P151 on Mooney face image processing in #deepnets vs humans More details here: biorxiv.org/content/10.110… Also check out posters from colleagues @UnimelbBME @Qinwayne P157 & P159
2/ I will join my colleagues @usamaf Fayyad and @kchurch4 to demystify #deepnets, explain why #ResponsibleAI is so important for businesses - and answer many of the questions we receive about the true impact of #chatbots and emerging #AItechnologies.
Many thanks to my great colleagues Michael Fonder and Marc Vandroogenbroeck for putting me in the loop for this work! #deepnets #computerVision #depthEstimation #drones 3/3
Today is the last day to register for the inaugural @AustralianData conference at QUT in Brissie. Hear me talk about #deepnets for analysing 30k microscopy images of fertilised human embryos. I compare DNNs with how technicians make destiny decisions (discard or transfer)
Registrations closing soon! Don't miss out on our first-ever conference of the ADSN. Come to Brissy for two days of great #DataScience 📌@QUT, Brisbane 🗓 Mon-Tues, 21-22 November 🗓 Registrations close: Thurs, 10 November australiandatascience.net/event/2022-con…
One more day left to submit an abstract to the inaugural Australian Data Science Network conference! I'll be giving an invited talk on analysing images using #deepnets to supplement human decision making, covering a project analysing 30k 3D microscopy images of human embryos
Registrations are now open for our first-ever conference! @QUTDataScience is the host organisation for the 2-day, in-person event in Brisbane. Conference details and registration information is now on our website: australiandatascience.net/event/2022-con…
Just submitted my 5 minute FlashTalk for the @neuromatch conference. I'll be talking about Mooney face images in CNNs vs humans, work with @hans_opdebeeck & @tim_leers. #nmc2022 starts Sept 27 @biorxivpreprint : doi.org/10.1101/2022.0… #visionscience #deepnets #NeuralNetworks
I had a blast at @ecvp2022 - finally seeing my #vision science peers face to face after such a long hiatus! I presented work on Mooney face image processing in #deepnets vs humans, first half of results are up on @biorxiv biorxiv.org/content/10.110… @VisionSciBot #neuralnets
@astrid_zeman presenting at #ecvp2022 about the processing of Mooney face stimuli by deep neural networks
We have a biorxiv paper up on object-scene regularities in the human brain versus #deepnets by Stefania Bracci, Jakob Mraz, myself Gaëlle Leys and @hans_opdebeeck biorxiv.org/content/10.110… Presented at @ecvp2022 #vision #objects #scenes #fmri
I love @karpathy Software 2.0 where #AI #deepnets produce the brains of your code, but is anyone interested in software 2.1 where we now have to use code to make sense of the data provided by #machineLearning
Coming today from an interesting #ITU_AIForGood webinar: using #DeepLearning to directly predict parameters by exploiting the past knowledge of training other networks. A large-scale dataset of diverse computational graphs of neural architectures, #DeepNets-1M, 1/3
"A year ago I came home to dinner & I said 'I think I finally figured out how the brain works' & my 15-year-old daughter said 'Oh Daddy, not again.'" Geoffrey Hinton cognitive psychologist & computer scientist responsible biggest breakthroughs in #DeepNets cs.toronto.edu/~hinton/
How can we estimate the confidence of #deepnets predictions? We address this problem in our #CARE paper. biorxiv.org/content/biorxi… @martweig @uschmidt83 @PavelTomancak @florianjug @HenriquesLab @csbd @mpicbg @czbiohub
#BigML's CIO explaining step by step how our #Deepnets predicted the #OscarWinners at #2ML18 @Barrabesbiz
2 jours de formation #deeplearning dans nos bureaux parisiens le 1er et le 3 février ! #deepnets #nlp
Some results based on a small dataset (~1000 images). But @TensorFlow #TensorBoard graphs plotting results from MNIST and other datasets will be demoed at @CodemoAmsterdam beginning of May, using #DeepNets, #CNNs & #LSTMs. #ReLUs is the new #ReLU.
Many thanks to my great colleagues Michael Fonder and Marc Vandroogenbroeck for putting me in the loop for this work! #deepnets #computerVision #depthEstimation #drones 3/3
Creating your #Deepnets programmatically with the #BigML #API! blog.bigml.com/2017/10/02/pro… #MachineLearning for everyone #Release
Caricaturing features seen in noise by (top->bottom) object-, place- & face-trained #deepnets via #deepdream in progressively higher layers.
.@pejpgrep BigML’s Chief Infrastructure Officer, explaining at #papisio Europe how BigML #Deepnets predicted the 2018 #OscarWinners with #MachineLearning blog.bigml.com/2018/03/01/pre… @papisdotio
"current thinking is that there aren't (many) 'bad local minima' in #DeepNets " - Tim Lillicrap passing on the wisdom of @DeepMindAI to #isiCNI2018
#DeepNets easily fooled esp. in adversarial contexts @jeffclune tells #AINatSec; Affects #ML in general. Need MORE #research @n_miailhe
Benchmarking Popular Machine Learning Software (30+ algorithms, 50+ datasets from UCI, LIBSVM, MULAN, 10 evaluation metrics) by @bigmlcom's Charles Parker clparker.org/ml_benchmark/ Great to see BigML reducing barrier to entry to using ML and now deep learning. Go #deepnets!
Watch the full #webinar recording of BigML’s Summer 2017 Release: #Deepnets! blog.bigml.com/2017/10/06/big… #MachineLearning for everyone
Automate your #Deepnets with @WhizzML and the BigML #Python Bindings blog.bigml.com/2017/10/03/aut… #MachineLearning #Release #Automation
#67: @dhinojosa and @kito99 dive into #ai with fellow @Java_Champions @frankgreco and @zsevarac: Visual Recognition ML API for Java, #DeepNets, #StableDiffusion, #ChatGPT, #OpenJDK Panama, #Llma 2, #PromptEngineering, #ApacheZeppelin, #Tensorboard, #H2O.ai, #Spark, and more!
Our FREE live webinar presenting #Deepnets starts in 10 minutes. Last chance to register! register.gotowebinar.com/register/91557… #MachineLearning #Release
Read "Huawei tops AI Benchmark tests for running deep neural nets on mobile phones" ai-benchmark.com For more, get the app at AppliedSingularity.com/app #AI #MachineLearning #DeepNets
#Deepnets are now more #interpretable on #BigML! After using the Automatic Network Search, you can view the configuration for each network composing the final deepnet. #classification #regression #ML made easy bigml.com/whatsnew#view-…
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