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Author : debby-jeon | Published Date : 2016-03-13

4B4B790AI774766E3797728M4B4B7272B70M2277994748732BFFF747

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5!678!9:3*!:6+7$!/&*!;!97&#x= Tj;&#x ET ;&#xQ q ;�.24;&#x 0 0;&#x 0: Transcript


4B4B790AI774766E3797728M4B4B7272B70M2277994748732BFFF747. EdeІW8.5sȈps6ȏ.e6iІ8ऋ6Ȉme6iІS8ऌȆWest6F.3Мe. Seve.3l68tȏ.6e-b885s63И6m3Љ3ls68Іtȏ6sकject68 Call 800-678-0141Product Data SheetPDS-224-2 For Precision Fiber OpticAR801 Features:Removable alignment sleeve insert for easycleaning of ber optic terminiThree stages of alignment: shell-to-shell k p: 800 - 678 - 8811 f: 508 - 995 - 3886 S TANDARD F ASTENINGS The Finest Name in Marine Fastenings 800 Mount Pleasant Street, New Bedford, MA 02745 www.standardfastenings.com 18 - 8 S TAINLESS S TEE 234 678 Excavated roots of two adjacent elms showinggrafting between the roots. Root grafting joinsallowing DED fungi to pass through grafts from aninfected tree into its neighbor.Rows of adjacent Am Call 800-678-0141Product Data SheetPDS-224-2 For Precision Fiber OpticAR801 Features:Removable alignment sleeve insert for easycleaning of ber optic terminiThree stages of alignment: shell-to-shell k SRT - 01 STOPS RUST ENAMEL SPRAYS Form: GDH - 678 Rev.: 01 30 15 1 . DESCRIPTION AND USE S . Rust - Oleum 133 S outh Marble Street. Rockmart, GA 30153 . 678.971.2846 3 8 th Annual Homespun Festival Arts & Crafts Entry Form Friday, July 1 7 , 201 5 Saturday, July 1 8 , 201 5 Festival Hours – * $*!234'5'+/-U$/'*+,(!./*+-:1+/-!'9!:*=!,-9/*!/-!1/E:*=!/+4,-!+4:*!+4,!(,9';*:+,(!A/00'1':8B!/-!A,31879'&#x 37 ;,B!1/*+-:1+/-9!+4:+!/&#x- -2; 00;'(,!:!9,-&#x- -2; 00;'1,!@,D;DI!97-&#x, 3 ;'9'/* A/R-+4�&E4041&�+,UA4AR+&,+- ,4)G*78()5%G48E*I)4,-%*78()5 B87''%',I4&7*'G=#;_2TSSR@2.)',-%I7H)8&)*I,%()48&I,'G:E,(,*4,-%./%749,8%'7E8I,'%47%9)H,%%E*I,84)&*4/%678%)55%&'747,'G_&''&7*%87-EI 56) !"#$%&*/2(3*24,&3*0)*+4&0/-24+678&U*06,621& #4$0!'+!+5$!)4$!B$8;-&$5.!'+!68$! .!'+!(+5)!?8';-:$!*+,-! *+,-!(6!+5$!60:!5468$!'+8!H'0)$0)!-0!6&&'8:60&$!=-)4!)4$!*+,- ?3%1'$"#&F+%1%.&*+,- 1!B+&4!&'0)$0)!-5!)4$!5'%$!8$5?'05-�-%-)'9!)4$!$0)-) WB/DPD/E-T2672--7E3227EE/7NOP2A282HN782G2672--7NOP2A3383V3A302HW72-22/BKB-T2-/-01234-567897/11169x -2 2111ABBAAB21A12C-D-EC-D-F/00GH19IBJ6I1AABPJQKJ8MAJ7KL0x -2 M/-/M-NL0MK7/0M/5OP-M7DNL0MO/05C/K8/OLC /012/34512/7700x0000040497/-ABABC22979DE FG-HHI-JKJ- LJMN KHHOPIQIR5STUT90VWXYZVXx0000/012/33754737709x0000/012/390x00000730x0000040C259437/7307S9349x00004a40b3707/x00000425x00009257c47C721/7a7dx00 1. Deep Learning. Early Work. Why Deep Learning. Stacked Auto Encoders. Deep Belief Networks. Deep Learning Overview. Train networks with many layers (vs. shallow nets with just a couple of layers). Multiple layers work to build an improved feature space.

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