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#autoencoders search results

zer0int1's profile picture. AI & I do prompt engineering towards prompt criticality. e/acc
zer0int (it·its)
 @zer0int1
Nov 29

#Sparse #Autoencoders are a delicate thing! 🤓 #CLIP blackbox embedding (top left): ground truth #SAE reconstruction, var. hidden dims & sparsity (λ -> loss). Blackbox = gradient ascent optimized by CLIP itself for a given image (no text prompt encoded). #AI #AIart #flux1

zer0int1's tweet image. #Sparse #Autoencoders are a delicate thing! 🤓 #CLIP blackbox embedding (top left): ground truth #SAE reconstruction, var. hidden dims & sparsity (λ -> loss). Blackbox = gradient ascent optimized by CLIP itself for a given image (no text prompt encoded). #AI #AIart #flux1
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DimartinotFR's profile picture. PhD in AI 🤖 & Remote Sensing 🛰 Former visiting researcher at Phi-Lab, ESA. Always SAR-iously studying 🥸 Opinions are my own.
Di Martino Thomas 🛰
 @DimartinotFR
Aug 8, 2023

Honored to announce the publication of my third journal article in IEEE GRSL. We introduce an adaptation of Grad-CAM for the explainability of the embedding dimension of Convolutional #Autoencoders applied to Satellite Image time series. Check it out: ieeexplore.ieee.org/document/10210….

DimartinotFR's tweet image. Honored to announce the publication of my third journal article in IEEE GRSL. We introduce an adaptation of Grad-CAM for the explainability of the embedding dimension of Convolutional #Autoencoders applied to Satellite Image time series. Check it out: ieeexplore.ieee.org/document/10210….
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svchekanov's profile picture. Ph.D., particle physicist, author of 3 books, smashing particles at the world's largest particle collider and designing a knowledge encyclopedia.
S.Chekanov (Ph.D.)
@svchekanov
Sep 6, 2024

This analogy illustrates our new paper on anomaly detection (arxiv.org/abs/2409.03065) using #autoencoders. Imagine you're walking through a vast forest searching for a specific bush, guided only by its photo. Navigating through the trees is challenging, similar to what the #LHC…

svchekanov's tweet image. This analogy illustrates our new paper on anomaly detection (arxiv.org/abs/2409.03065) using #autoencoders. Imagine you're walking through a vast forest searching for a specific bush, guided only by its photo. Navigating through the trees is challenging, similar to what the #LHC…
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e2enetworks's profile picture. Supercharging AI Compute in India since 2018! Launch NVIDIA H200s today https://t.co/ymk09g8Tcg https://t.co/S9AxQhT74o
E2E Networks
@e2enetworks
Feb 1, 2023

Discover the power of #Autoencoders! Learn about this type of #ArtificialNeuralNetwork and how it can be used for #DataCompression, #AnomalyDetection, and more. Get started on your #DeepLearning journey now! 💻🧠 #MachineLearning #AI : bit.ly/3Ycjh2C #ai #ml #gpu

e2enetworks's tweet image. Discover the power of #Autoencoders! Learn about this type of #ArtificialNeuralNetwork and how it can be used for #DataCompression, #AnomalyDetection, and more. Get started on your #DeepLearning journey now! 💻🧠 #MachineLearning #AI : bit.ly/3Ycjh2C #ai #ml #gpu
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Unit42_Intel's profile picture. The latest research and news from Unit 42, the Palo Alto Networks (@paloaltontwks) Threat Intelligence and Security Consulting Team covering incident response.
Unit 42
 @Unit42_Intel
Aug 21, 2024

Our latest research leverages #autoencoders for creating condensed #DNS profiles, enabling precise anomaly detection and bolstering cybersecurity defenses. Read more: bit.ly/3MehhmA

Unit42_Intel's tweet image. Our latest research leverages #autoencoders for creating condensed #DNS profiles, enabling precise anomaly detection and bolstering cybersecurity defenses. Read more: bit.ly/3MehhmA
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RemoteSens_MDPI's profile picture. No. 1 #remotesensing #openaccess journal in Remote Sensing Category in #WoS, published by @MDPIOpenAccess; IF 2024 4.1; CiteScore 2024 8.6; #mdpiremotesensing
Remote Sensing MDPI
 @RemoteSens_MDPI
Sep 19

👇👇 Advancing Physically Informed #Autoencoders for #DTM Generation ✍️ Amin Alizadeh Naeini et al. 🔗 brnw.ch/21wVUC8

RemoteSens_MDPI's tweet image. 👇👇 Advancing Physically Informed #Autoencoders for #DTM Generation ✍️ Amin Alizadeh Naeini et al. 🔗 brnw.ch/21wVUC8
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anmorgan2414's profile picture.
Abby
@anmorgan2414
May 21, 2024

#DeepLearning models are typically used with unstructured data types like audio, images, and text, but #Autoencoders can also be applied to tabular data for anomaly detection tasks. Learn how to debug your model using @CometML’s Data Panels: bit.ly/3VcYHRm

anmorgan2414's tweet image. #DeepLearning models are typically used with unstructured data types like audio, images, and text, but #Autoencoders can also be applied to tabular data for anomaly detection tasks. Learn how to debug your model using @CometML’s Data Panels: bit.ly/3VcYHRm
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JmlrOrg's profile picture. Official twitter account for the Journal of Machine Learning Research (JMLR)
Journal of Machine Learning Research
 @JmlrOrg
Oct 2

'Autoencoders in Function Space', by Justin Bunker, Mark Girolami, Hefin Lambley, Andrew M. Stuart, T. J. Sullivan. jmlr.org/papers/v26/25-… #autoencoders #autoencoder #generative

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TmlrSub's profile picture. Submissions to Transactions of Machine Learning Research
New Submissions to TMLR
 @TmlrSub
Oct 23

A Novel Method for Time Series Counterfactual Inference Based on Penalized Autoencoders openreview.net/forum?id=X6lrz… #autoencoders #autoencoder #counterfactual

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akomolafe_kenny's profile picture. Data Analytics and Science, email: akomolafekenny7@gmail.com
Kenny 📈📊
 @akomolafe_kenny
May 20, 2024

One Major advantage of AutoEncoders is that they're very capable of transforming high dimensional data into a 2D latent space representation #datascience #autoencoders #machinelearning #AI

akomolafe_kenny's tweet image. One Major advantage of AutoEncoders is that they're very capable of transforming high dimensional data into a 2D latent space representation #datascience #autoencoders #machinelearning #AI
akomolafe_kenny's tweet image. One Major advantage of AutoEncoders is that they're very capable of transforming high dimensional data into a 2D latent space representation #datascience #autoencoders #machinelearning #AI
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TmlrPub's profile picture.
Accepted papers at TMLR
 @TmlrPub
Oct 25

An Information-Theoretic Lower Bound on the Generalization Error of Autoencoders Shyam Venkatasubramanian, Sean Moushegian, Ahmed Aloui, Vahid Tarokh. Action editor: Andreas Kirsch. openreview.net/forum?id=0esF0… #autoencoders #deep #overfitting

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TmlrCert's profile picture. New certifications for TMLR papers
Certified papers at TMLR
 @TmlrCert
Sep 18

New #FeaturedCertification: An Information-Theoretic Lower Bound on the Generalization Error of Autoencoders Shyam Venkatasubramanian, Sean Moushegian, Ahmed Aloui, Vahid Tarokh openreview.net/forum?id=0esF0… #autoencoders #deep #overfitting

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NextGenCon21's profile picture. We help companies apply AI and data science to real-world problems in biology, healthcare, and tech. From genomics to automation, we ship.
Next Generation Consulting
@NextGenCon21
Mar 7, 2023

Optimizing autoencoder design for scRNA-seq data imputation just got easier! Check out this practical paper for guidance on neural network architecture, activation functions, and regularization strategies. #scRNAseq #autoencoders #dataimputation biorxiv.org/content/10.110…

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annals_csis's profile picture. Online book series that publishes FedCSIS conference proceedings, thematic volumes, projects' research reports, special editions on hot CS topics, and more.
Annals of Computer Science and Information Systems
 @annals_csis
Jun 23

Discussing prospects of using interval methods to training #denoising #autoencoders: “Developing an #intervalmethod for training denoising autoencoders by bounding the noise“ by Bartłomiej Jacek Kubica. ACSIS Vol. 37 p.173–180; tinyurl.com/u8pdkcph

annals_csis's tweet image. Discussing prospects of using interval methods to training #denoising #autoencoders: “Developing an #intervalmethod for training denoising autoencoders by bounding the noise“ by Bartłomiej Jacek Kubica. ACSIS Vol. 37 p.173–180; tinyurl.com/u8pdkcph
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TmlrPub's profile picture.
Accepted papers at TMLR
 @TmlrPub
Oct 22

Unveiling Multiple Descents in Unsupervised Autoencoders Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir Lindenbaum. Action editor: Tatiana Likhomanenko. openreview.net/forum?id=FqfHD… #autoencoders #supervised #datasets

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TmlrCert's profile picture. New certifications for TMLR papers
Certified papers at TMLR
 @TmlrCert
Oct 27

New #J2CCertification: Learning multi-modal generative models with permutation-invariant encoders and tighter variationa... Marcel Hirt, Domenico Campolo, Victoria Leong, Juan-Pablo Ortega openreview.net/forum?id=lM4nH… #autoencoders #generative #modality

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TmlrPub's profile picture.
Accepted papers at TMLR
 @TmlrPub
Oct 25

An Information-Theoretic Lower Bound on the Generalization Error of Autoencoders Shyam Venkatasubramanian, Sean Moushegian, Ahmed Aloui, Vahid Tarokh. Action editor: Andreas Kirsch. openreview.net/forum?id=0esF0… #autoencoders #deep #overfitting

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TmlrSub's profile picture. Submissions to Transactions of Machine Learning Research
New Submissions to TMLR
 @TmlrSub
Oct 23

A Novel Method for Time Series Counterfactual Inference Based on Penalized Autoencoders openreview.net/forum?id=X6lrz… #autoencoders #autoencoder #counterfactual

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TmlrPub's profile picture.
Accepted papers at TMLR
 @TmlrPub
Oct 22

Unveiling Multiple Descents in Unsupervised Autoencoders Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir Lindenbaum. Action editor: Tatiana Likhomanenko. openreview.net/forum?id=FqfHD… #autoencoders #supervised #datasets

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TmlrSub's profile picture. Submissions to Transactions of Machine Learning Research
New Submissions to TMLR
 @TmlrSub
Oct 17

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems openreview.net/forum?id=Qy3oL… #autoencoders #dynamics #modeling

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TmlrPub's profile picture.
Accepted papers at TMLR
 @TmlrPub
Oct 11

Can Masked Autoencoders Also Listen to Birds? Lukas Rauch, René Heinrich, Ilyass Moummad, Alexis Joly, Bernhard Sick, Christoph Scholz. Action editor: Chuan Sheng Foo. openreview.net/forum?id=GIBWR… #bioacoustic #autoencoders #audio

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TmlrSub's profile picture. Submissions to Transactions of Machine Learning Research
New Submissions to TMLR
 @TmlrSub
Oct 9

SPARC: Concept-Aligned Sparse Autoencoders for Cross-Model and Cross-Modal Interpretability openreview.net/forum?id=IJfvo… #autoencoders #multimodal #learns

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JmlrOrg's profile picture. Official twitter account for the Journal of Machine Learning Research (JMLR)
Journal of Machine Learning Research
 @JmlrOrg
Oct 2

'Autoencoders in Function Space', by Justin Bunker, Mark Girolami, Hefin Lambley, Andrew M. Stuart, T. J. Sullivan. jmlr.org/papers/v26/25-… #autoencoders #autoencoder #generative

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JmlrOrg's profile picture. Official twitter account for the Journal of Machine Learning Research (JMLR)
Journal of Machine Learning Research
 @JmlrOrg
Sep 19

'Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses', by Eslam Abdelaleem, Ilya Nemenman, K. Michael Martini. jmlr.org/papers/v26/24-… #autoencoders #encoder #variational

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RemoteSens_MDPI's profile picture. No. 1 #remotesensing #openaccess journal in Remote Sensing Category in #WoS, published by @MDPIOpenAccess; IF 2024 4.1; CiteScore 2024 8.6; #mdpiremotesensing
Remote Sensing MDPI
 @RemoteSens_MDPI
Sep 19

👇👇 Advancing Physically Informed #Autoencoders for #DTM Generation ✍️ Amin Alizadeh Naeini et al. 🔗 brnw.ch/21wVUC8

RemoteSens_MDPI's tweet image. 👇👇 Advancing Physically Informed #Autoencoders for #DTM Generation ✍️ Amin Alizadeh Naeini et al. 🔗 brnw.ch/21wVUC8
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JmlrOrg's profile picture. Official twitter account for the Journal of Machine Learning Research (JMLR)
Journal of Machine Learning Research
 @JmlrOrg
Sep 19

'Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space', by Romain Verdière, Clémentine Prieur, Olivier Zahm. jmlr.org/papers/v26/23-… #autoencoders #gradient #encoder

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TmlrCert's profile picture. New certifications for TMLR papers
Certified papers at TMLR
 @TmlrCert
Sep 18

New #FeaturedCertification: An Information-Theoretic Lower Bound on the Generalization Error of Autoencoders Shyam Venkatasubramanian, Sean Moushegian, Ahmed Aloui, Vahid Tarokh openreview.net/forum?id=0esF0… #autoencoders #deep #overfitting

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AI_BY_TEC's profile picture. Creating AI chatbot systems with large language models. From GPT-based chat to smart automation, welcome to the future of artificial intelligence.
Ai ByTec
 @AI_BY_TEC
Sep 4

Autoencoders: Reducing Data Noise with AI They compress, reconstruct, and filter data to keep only what matters. Cleaner inputs lead to smarter models and better results. #Aibytec #AIbytec #Autoencoders #MachineLearning #DeepLearning #SmartData #Boost #100K #ForYou

AI_BY_TEC's tweet image. Autoencoders: Reducing Data Noise with AI They compress, reconstruct, and filter data to keep only what matters. Cleaner inputs lead to smarter models and better results. #Aibytec #AIbytec #Autoencoders #MachineLearning #DeepLearning #SmartData #Boost #100K #ForYou
AI_BY_TEC's tweet image. Autoencoders: Reducing Data Noise with AI They compress, reconstruct, and filter data to keep only what matters. Cleaner inputs lead to smarter models and better results. #Aibytec #AIbytec #Autoencoders #MachineLearning #DeepLearning #SmartData #Boost #100K #ForYou
AI_BY_TEC's tweet image. Autoencoders: Reducing Data Noise with AI They compress, reconstruct, and filter data to keep only what matters. Cleaner inputs lead to smarter models and better results. #Aibytec #AIbytec #Autoencoders #MachineLearning #DeepLearning #SmartData #Boost #100K #ForYou
AI_BY_TEC's tweet image. Autoencoders: Reducing Data Noise with AI They compress, reconstruct, and filter data to keep only what matters. Cleaner inputs lead to smarter models and better results. #Aibytec #AIbytec #Autoencoders #MachineLearning #DeepLearning #SmartData #Boost #100K #ForYou
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TmlrSub's profile picture. Submissions to Transactions of Machine Learning Research
New Submissions to TMLR
 @TmlrSub
Aug 15

Uncovering Language Model Processing Strategies with Non-Negative Per-Example Fisher Factorization openreview.net/forum?id=DUFvZ… #autoencoders #learns #learning

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octogenex's profile picture. AI/ML Innovator @ Aon | Ex - PwC, myELSA | IIIT-B | Life/Career/Resume Counsellor | Successfully tried unsuccessful venture - Pensfabriko | KOL ✈️ BLR
Rahul Raj
 @octogenex
Aug 12

🎩 Autoencoders = data magic without labels! They compress, reconstruct & reveal hidden features—perfect for anomaly detection, denoising, or just flexing AI muscles. ✨ 🔗buff.ly/Cx76v5Y & buff.ly/5PzZctS #AI365 #Autoencoders #UnsupervisedLearning #TechMagic

octogenex's tweet image. 🎩 Autoencoders = data magic without labels! They compress, reconstruct & reveal hidden features—perfect for anomaly detection, denoising, or just flexing AI muscles. ✨ 🔗buff.ly/Cx76v5Y & buff.ly/5PzZctS #AI365 #Autoencoders #UnsupervisedLearning #TechMagic
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stackbuilders's profile picture. We push the boundaries of the software industry through quality, pragmatic custom software solutions that bring the visions of our clients to life.
Stack Builders Inc.
 @stackbuilders
Aug 8

🔗 We just published a new blog: stackbuilders.com/insights/autoe… Autoencoders are a foundational concept in modern deep learning, with powerful applications in image processing, anomaly detection, and more. #MachineLearning #Autoencoders #DeepLearning #TechInsights

stackbuilders's tweet image. 🔗 We just published a new blog: stackbuilders.com/insights/autoe… Autoencoders are a foundational concept in modern deep learning, with powerful applications in image processing, anomaly detection, and more. #MachineLearning #Autoencoders #DeepLearning #TechInsights
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TmlrPub's profile picture.
Accepted papers at TMLR
 @TmlrPub
Jul 21

Prior Learning in Introspective VAEs Ioannis Athanasiadis, Fredrik Lindsten, Michael Felsberg. Action editor: Søren Hauberg. openreview.net/forum?id=u4YDV… #autoencoders #adversarial #introvae

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OnyxGovernment's profile picture. "The Onyx GS team is considered one of the best contractors we've ever used."-Contracting officer, federal #govt agency @afceanova #Govcon #Veterans 💻
Onyx Government Services 🇺🇸 (SDVOSB) 🪖
 @OnyxGovernment
Jul 18

AI that compresses, cleans, and reconstructs data? That's the job of an autoencoder. Learn how this unsung hero of machine learning can power anomaly detection, privacy, and edge AI: onyxgs.com/blog/autoencod… #AI #MachineLearning #Autoencoders #GovTech #OnyxGS

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data_datum's profile picture. PhD. Data Scientist (i+D) at GrupoQuintoAndar . Stats, machine learning, deep learning, IA. #python #R. She/her.
Roxana Noelia
 @data_datum
Dec 5, 2020

Hoy va a ser la 1era vez que voy a hablar de #autoencoders. 🚀🥰🥳

data_datum's tweet image. Hoy va a ser la 1era vez que voy a hablar de #autoencoders. 🚀🥰🥳
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SovitRath5's profile picture. Lead SWE (GenAI and LLMs) @ Indegene Blog - https://t.co/Rq2WcIT5QC GitHub - https://t.co/9PmVei4IoP
SovitRath5
 @SovitRath5
Jul 13, 2020

My new article shows how to generate new images of faces using convolutional varitional autoencoder neural network and PyTorch. Give it a read here - debuggercafe.com/face-image-gen… #DeepLearning #PyTorch #Autoencoders #ComputerVision #NeuralNetworks #MachineLearning

SovitRath5's tweet image. My new article shows how to generate new images of faces using convolutional varitional autoencoder neural network and PyTorch. Give it a read here - debuggercafe.com/face-image-gen… #DeepLearning #PyTorch #Autoencoders #ComputerVision #NeuralNetworks #MachineLearning
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thalexandrov's profile picture. Head @alexandrovteam & Metabolomics Core @EMBL, BioStudio Faculty @BioCPH, @metaspace2020 lead, ERC Investigator, past co-founder https://t.co/gFwDTjxHAU, he/him/his
Theodore Alexandrov
 @thalexandrov
Jun 7, 2018

Spencer Thomas @NPL presenting #ASMS2018 an overview of data mining for imaging MS, use of #autoencoders. Thanks for highlighting @metaspace2020 as a useful tool!

thalexandrov's tweet image. Spencer Thomas @NPL presenting #ASMS2018 an overview of data mining for imaging MS, use of #autoencoders. Thanks for highlighting @metaspace2020 as a useful tool!
thalexandrov's tweet image. Spencer Thomas @NPL presenting #ASMS2018 an overview of data mining for imaging MS, use of #autoencoders. Thanks for highlighting @metaspace2020 as a useful tool!
thalexandrov's tweet image. Spencer Thomas @NPL presenting #ASMS2018 an overview of data mining for imaging MS, use of #autoencoders. Thanks for highlighting @metaspace2020 as a useful tool!
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tetraduzione's profile picture. human being | assoc prof in #ML #AI @ancAtEd | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist
antonio vergari ⚔️ not at #ICML2025
 @tetraduzione
Jan 28, 2020

Q: Can deterministic #autoencoders (AEs) learn latent spaces that are as smooth and meaningful as #VAEs do? A: Yes, see gif and read small thread 👇 👇 👇 Work with @ParthaG64920039 Mehdi M.S. Sajjadi @Michael_J_Black @bschoelkopf accepted at @iclr_conf #iclr2020 👇 1/

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RemoteSens_MDPI's profile picture. No. 1 #remotesensing #openaccess journal in Remote Sensing Category in #WoS, published by @MDPIOpenAccess; IF 2024 4.1; CiteScore 2024 8.6; #mdpiremotesensing
Remote Sensing MDPI
 @RemoteSens_MDPI
Sep 19

👇👇 Advancing Physically Informed #Autoencoders for #DTM Generation ✍️ Amin Alizadeh Naeini et al. 🔗 brnw.ch/21wVUC8

RemoteSens_MDPI's tweet image. 👇👇 Advancing Physically Informed #Autoencoders for #DTM Generation ✍️ Amin Alizadeh Naeini et al. 🔗 brnw.ch/21wVUC8
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jason_mayes's profile picture. #WebAI Lead @Google (#DevRel) (13yr Googler). I talk about: #WebML, #JS, #Chrome, #WebDev, #MediaPipe web, #Google #AI, #tech, #innovation. Opinions are my own.
Jason Mayes
@jason_mayes
Jul 23, 2021

An amazing unification of #TensorFlow with #TensorFlowJS to create a beautiful interactive site to explain more on #Autoencoders. Yep, it's #MadeWithTFJS. Give it a read and share, would love to see more examples using this. buff.ly/3kHO9I3 #JS #ML #AI #CreativeCoding

jason_mayes's tweet image. An amazing unification of #TensorFlow with #TensorFlowJS to create a beautiful interactive site to explain more on #Autoencoders. Yep, it's #MadeWithTFJS. Give it a read and share, would love to see more examples using this. buff.ly/3kHO9I3 #JS #ML #AI #CreativeCoding
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DCE_Journal's profile picture. Data-Centric Engineering, a new #openaccess journal at the interface of engineering and data science. Published by @CambridgeUP and supported by @LR_Foundation.
Data-Centric Engineering
 @DCE_Journal
May 17, 2022

🚨 Multiphase flow applications of nonintrusive reduced-order models with Gaussian process emulation T. Botsas, I. Pan, @MasonLR_ & @OkMatar → doi.org/10.1017/dce.20… #Autoencoders #GaussianProcess #ReducedOrderModels #ML #MachineLearning #ComputationalFluidDynamics #Polymers

DCE_Journal's tweet image. 🚨 Multiphase flow applications of nonintrusive reduced-order models with Gaussian process emulation T. Botsas, I. Pan, @MasonLR_ & @OkMatar → doi.org/10.1017/dce.20… #Autoencoders #GaussianProcess #ReducedOrderModels #ML #MachineLearning #ComputationalFluidDynamics #Polymers
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SethMoortgat's profile picture. Data Scientist at Janssen Pharmaceutica. #LINO19 allumni. PhD in experimental Particle Physics.
Seth Moortgat
 @SethMoortgat
Sep 19, 2018

Can #Deep #AutoEncoders help us to detect anomalies caused by #SUSY particles? Once again the shift from supervised to unsupervised #MachineLearning comes forward during the #TOPQ2018 conference! Talk by David Shih. @TopQuarkConf

SethMoortgat's tweet image. Can #Deep #AutoEncoders help us to detect anomalies caused by #SUSY particles? Once again the shift from supervised to unsupervised #MachineLearning comes forward during the #TOPQ2018 conference! Talk by David Shih. @TopQuarkConf
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alexfdezsauco's profile picture. Just another software engineer who believes to know something about software development, father and also play basketball pretty well
Alexánder Fernández
 @alexfdezsauco
Nov 21, 2018

This is not me, but is a friend of mine presenting the "Computing Anomaly Threshold with #Autoencoders Pipeline" paper at #CIARP2018 #PosterSession. Experiments built on top @deeplearning4j #DeepLearning via facebook.com/photo.php?fbid…

alexfdezsauco's tweet image. This is not me, but is a friend of mine presenting the "Computing Anomaly Threshold with #Autoencoders Pipeline" paper at #CIARP2018 #PosterSession. Experiments built on top @deeplearning4j #DeepLearning via facebook.com/photo.php?fbid…
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