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HQo0+ccALj*^iBU,d1{_j0[|Es?k| Y6_@Z%.HS2I`[F`}(GiGznJE:/JP Menu 24 APRIL 2018 / #MACHINE LEARNING An intuitive guide to Convolutional Neural 0000003812 00000 n 30 0 obj << 0000035859 00000 n /ProcSet [ /PDF /Text ] View Notes - An intuitive guide to Convolutional Neural Networks.pdf from CIS 545 at University of Pennsylvania. Click Download or Read Online button to get Guide To Convolutional Neural Networks book now. /Font << /F53 23 0 R /F54 24 0 R /F55 25 0 R /F58 26 0 R >> P@I4A?\2H3r4I 0000006585 00000 n :^'l+i{0uR~X$,RFvgRw-!TLJ+&ai\ % X 7`5Y8DatJU,k;1y0#3|'xqe. /Type /Page ;>F trailer xVKs0Wp5:6}M;=A@%O Neural Networks Basics Convolutional Neural Network Applications in CV Tasks Tools and Libraries Bibliography Author Biographies A Guide to Convolutional Neural Networks for Computer Vision Salman Khan, Data61-CSIRO and Australian National University Hossein Rahmani, University of Western Australia )7%|Dm1Q@n]w+W}jEFn{"JWjW?u>AX/G#.z-8JRV 0000024795 00000 n Ui*> endobj /Filter /FlateDecode 5 0 obj hb``g``e``` %%EOF /Filter /FlateDecode Convolutional Neural Networks To address this problem, bionic convolutional neural networks are proposed to reduced the number of parameters and adapt the network architecture specifically to vision tasks. % stream 113 0 obj <>stream endstream endobj 112 0 obj <>/Filter/FlateDecode/Index[5 74]/Length 22/Size 79/Type/XRef/W[1 1 1]>>stream KDO7m pfW>k?s@N+IMSP+i. /Length 931 H|Qo0hA0`HU5&/C{YX56MiHE;{TO?Jy2 /Length 543 %PDF-1.4 >> % Many solid papers have been published on this topic, and quite a number of high quality open source CNN software packages have been made available. endstream endobj 89 0 obj <>stream /Contents 22 0 R vswA\ [THYADnX0 8k'X;)hX4PoBh jZ-Czz r= =A2=";Y`?l^5OyIDWyI"/9W9=s]OGEP{k$'6#!H=yL8pohP`],l c=Kee#s|_+`P`5O}wb;o}]&n*ra%AwMF0% 1/ygKGA9/|)-DzdUS +k_eMN"$\2T. FL1#K'0'qN$VF99_/+EjZ+3e;USU3F`\77b)H|Z@A2O=x(M@? N&Rg' %2wV VRD "=hyGx3o.Q^b&P]CD})lJKpk|,[NdHamXn)TbSX_8@&+(3E&>6;e^}n~NAc:swQBhq,. 20 0 obj << 2012 was the first year that neural nets grew to prominence as Alex Krizhevsky used them to win that years ImageNet competition (basically, the annual Olympics of computer vision), dropping the classification error record from 26% to 15%, an astounding improvement at the time.Ever s %PDF-1.5 0000007226 00000 n zc,8b>diqO8^l3%. /ColorSpace 3 0 R /Pattern 2 0 R /ExtGState 1 0 R 0000001398 00000 n File Name : guide-to-convolutional-neural-networks.pdf Languange Used : English File Size : 53,6 Mb Total Download : 757 Download Now Read Online. >> endobj /Resources 20 0 R endstream xRj0+t!VV+c4%!|kzP14r8W"]v3B2irK IJ! 0000030547 00000 n HKo0[BH Myt6fSU#Q}c2lZ C&tsUB;f?0 >@I\p\(*"h"hN.o/%sas4V[' 0000007863 00000 n xref I>|eYTN,-"/cY_X-*yx19ha(&iIbR}kDF&oGNxQ_i{@D?2h_T QmoF.;@!4\4,qmyATgf)P^tLe8!Z@|g*{s&equH#c%w\$h.g6xjFY5,#0RG (:Ww/Bk>%2a1fV0^TB>B w[7ZVn=hY9*tZv6=\BAq;hifq#Xf|mo~.mF2} of Computer Science University of Texas at Austin yezhang@utexas.edu Byron C. Wallace College of Computer and Information Science Northeastern University byron@ccs.neu.edu Abstract Convolutional Neural Networks (CNNs) 79 0 obj <> endobj stream /PTEX.PageNumber 1 9e93j@pFjtI3ObhJ4eBKC9(;C5v~ *iMdP*C+ztiDpR1zRn|r)*rMRS.g 4.xQ1q)PCA.}=gd convolutional neural networks can be trained more easily using traditional methods1. 0000035428 00000 n ;uyK} 5 ~Bc+B_6x%S_v[5N{jib8qV+6 <7r_4u ' KDY:kKeWBoD5/Gl/hKqR5'VgVC?iLQAV0MX.Q#ulDJIFL,PErwlZ^[M2Wp>^])^-I~ 43G}[MU|Ja%Z&qHB\/#]KKGicB{R;d"k@!D5{p13z(aVV);cSMTMv8(KP-A C*icQ]hA: MMSNN]eXn 2P}ouc+lg[;{Q#{{cX@M{OO-I[M2]KTYD`5Lx/3v0R^>;img j$RD"zB7MqRVaZ"HXu\F8{PJb.XiA "e$qK Wz4i[-@SA;J)W0#YFb! $@Xp0xtkmV0"Zgf#a"II*,>tH7 |_Gi,'XPCanI,y$VU blMJhf(wD\Qd58.D74 XKy\>r/b#EedR-\rUC7A[`HHD|$MdHF"bVI "^i-d$% ?W=v*d+25iZnC3ilA O[-8T+

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