Deep Learning as long as Big Data Intelligence in Brains in addition to Machines Intelligence in Brains in addition to Machines Intelligence in Brains in addition to Machines Deep Learning Applications

Deep Learning as long as Big Data Intelligence in Brains in addition to Machines Intelligence in Brains in addition to Machines Intelligence in Brains in addition to Machines Deep Learning Applications www.phwiki.com

Deep Learning as long as Big Data Intelligence in Brains in addition to Machines Intelligence in Brains in addition to Machines Intelligence in Brains in addition to Machines Deep Learning Applications

Moran, Mark, News Director has reference to this Academic Journal, PHwiki organized this Journal Deep Learning as long as Big Data P. Baldi University of Cali as long as nia, Irvine Department of Computer Science Institute as long as Genomics in addition to Bioin as long as matics Center as long as Machine Learning in addition to Intelligent Systems Intelligence in Brains in addition to Machines Intelligence in Brains in addition to Machines LEARNING

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Intelligence in Brains in addition to Machines LEARNING DEEP LEARNING Cutting Edge of Machine Learning: Deep Learning in Neural Networks Engineering applications: Computer vision Speech recognition Natural Language Underst in addition to ing Robotics Computer Vision – Image Classification Imagenet Over 1 million images, 1000 classes, different sizes, avg 482×415, color 16.42% Deep CNN dropout in 2012 6.66% 22 layer CNN (GoogLeNet) in 2014 4.9% (Google, Microsoft) super-human per as long as mance in 2015 Sources: Krizhevsky et al ImageNet Classification with Deep Convolutional Neural Networks, Lee et al Deeply supervised nets 2014, Szegedy et al, Going Deeper with convolutions, ILSVRC2014, Sanchez & Perronnin CVPR 2011, http://www.clarifai.com/ Benenson, http://rodrigob.github.io/are-we-there-yet/build/classification-datasets-results.html

Deep Learning Applications Engineering: Computer Vision (e.g. image classification, segmentation) Speech Recognition Natural Language Processing (e.g. sentiment analysis, translation) Science: Biology (e.g. protein structure prediction, analysis of genomic data) Chemistry (e.g. predicting chemical reactions) Physics (e.g. detecting exotic particles) in addition to many more Deep Learning in Biology: Mining Omic Data Deep Learning in Biology: Mining Omic Data C. Magnan in addition to P. Baldi. Sspro/ACCpro 5.0: Almost Perfect Prediction of Protein Secondary Structure in addition to Relative Solvent Accessibility. Problem Solved Bioin as long as matics, (advance access June 18), (2014). Solved

Deep Learning in Biology: Mining Omic Data C. Magnan in addition to P. Baldi. Sspro/ACCpro 5.0: Almost Perfect Prediction of Protein Secondary Structure in addition to Relative Solvent Accessibility. Problem Solved Bioin as long as matics, (advance access June 18), (2014). Deep Learning in Biology: Mining Omic Data C. Magnan in addition to P. Baldi. Sspro/ACCpro 5.0: Almost Perfect Prediction of Protein Secondary Structure in addition to Relative Solvent Accessibility. Problem Solved Bioin as long as matics, (advance access June 18), (2014). Deep Learning P. Di Lena, K. Nagata, in addition to P. Baldi. Deep Architectures as long as Protein Contact Map Prediction. Bioin as long as matics, 28, 2449-2457, (2012)

Deep Learning Chemical Reactions RCH=CH2 + HBr RCH(Br)–CH3 M. Kayala in addition to P. Baldi. ReactionPredictor: Prediction of Complex Chemical Reactions at the Mechanistic Level Using Machine Learning. Journal of Chemical In as long as mation in addition to Modeling, 52, 10, 2526–2540, (2012). M. Kayala, C. Azencott, J. Chen, in addition to P. Baldi. Learning to Predict Chemical Reactions. Journal of Chemical In as long as mation in addition to Modeling, 51, 9, 2209–2222, (2011). Deep Learning Chemical Reaction: ReactionPredictor Deep Learning in Physics: Searching as long as Exotic Particles

Daniel Whiteson Peter Sadowski Higgs Boson Detection Deep network improves AUC by 8% Nature Communications, July 2014 BDT= Boosted Decision Trees in TMVA package

THANK YOU Deep Learning in Chemistry: Predicting Chemical Reactions RCH=CH2 + HBr RCH(Br)–CH3 Many important applications (e.g. synthesis, retrosynthesis, reaction discovery) Two different approaches: Write a system of rules Learn the rules from big data Writing a System of Rules: Reaction Explorer ReactionExplorer System has about 1800 rules Covers undergraduate organic chemistry curriculum Interactive educational system Licensed by Wiley from ReactionExplorer in addition to distributed world-wide J. Chen in addition to P. Baldi. No Electron Left-Behind: a Rule-Based Expert System to Predict Chemical Reactions in addition to Reaction Mechanisms. Journal of Chemical In as long as mation in addition to Modeling, 49, 9, 2034-2043, (2009). Jonathan Chen

Problems Very tedious Non-scalable Limited coverage (undergraduate)

Moran, Mark KJZZ-FM News Director www.phwiki.com

Moran, Mark News Director

Moran, Mark is from United States and they belong to KJZZ-FM and they are from  Tempe, United States got related to this Particular Journal. and Moran, Mark deal with the subjects like International News; National News; Regional News

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