深度学习与PyTorch入门实战 - 43. nn.Module0 码力 | 16 页 | 1.14 MB | 1 年前3
Exactly-once fault-tolerance in Apache Flink - CS 591 K1: Data Stream Processing and Analytics Spring 2020AB6HicbVBNSwMxEJ34WetX1aOXYBE 9lV0R1FvRi8cqri20S8m2TY0yS5JVihL/4EXDype/Une/Dem7R609cHA470ZuZFqeDGet43WlpeWV1bL2UN7e2d3Yre/uPJsk0ZQFNRKJbETFMcMUCy61grVQzIiPBmtHwZuI3n5g2PFEPdpSyUJK+4jGnxDrpXp50 K1Wv5k2 AB6HicbVBNSwMxEJ34WetX1aOXYBE 9lV0R1FvRi8cqri20S8m2TY0yS5JVihL/4EXDype/Une/Dem7R609cHA470ZuZFqeDGet43WlpeWV1bL2UN7e2d3Yre/uPJsk0ZQFNRKJbETFMcMUCy61grVQzIiPBmtHwZuI3n5g2PFEPdpSyUJK+4jGnxDrpXp50 K1Wv5k2 AB6HicbVBNSwMxEJ34WetX1aOXYBE 9lV0R1FvRi8cqri20S8m2TY0yS5JVihL/4EXDype/Une/Dem7R609cHA470ZuZFqeDGet43WlpeWV1bL2UN7e2d3Yre/uPJsk0ZQFNRKJbETFMcMUCy61grVQzIiPBmtHwZuI3n5g2PFEPdpSyUJK+4jGnxDrpXp50 K1Wv5k20 码力 | 81 页 | 13.18 MB | 1 年前3
Getting Started with SQLite......................................................................................... 43 Page 3 of 43 Introduction This SQLite getting started guide is used by students enrolled in the Master systems; your screens may look a little different, but almost all of the steps are the same. Page 4 of 43 Downloading and Installing DB Browser for SQLite It is a best practice to manage your database’s you are using a different operating system, download the appropriate installer. Page 5 of 43 Step 2: Installing DB Browser for SQLite Execute Installer Your browser will now give you the0 码力 | 43 页 | 1.03 MB | 1 年前3
Getting Started in KiCad 5.1files 41 10 More about KiCad documentation 43 10.1 KiCad documentation on the Web . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Getting Started in KiCad v Essential and https://gitlab.com/kicad/code/kicad-i18n/issues Publication date 2015, May 16. Getting Started in KiCad 1 / 43 Chapter 1 Introduction to KiCad KiCad is an open-source software tool for the creation of electronic flavour. On the Internet, the homepage of KiCad is: http://www.kicad.org/ Getting Started in KiCad 2 / 43 1.1 Downloading and installing KiCad KiCad runs on GNU/Linux, Apple macOS and Windows. You can find0 码力 | 48 页 | 752.57 KB | 1 年前3
《Efficient Deep Learning Book》[EDL] Chapter 3 - Learning Techniquesepochs=100) Epoch 1/100 43/43 [==============================] - 77s 968ms/step - loss: 4.5983 - accuracy: 0.3833 - val_loss: 1.8394 - val_accuracy: 0.6833 Epoch 2/100 43/43 [==============================] xxxxxxxxx Epoch 98/100 43/43 [==============================] - 21s 497ms/step - loss: 2.1797e-07 - accuracy: 1.0000 - val_loss: 1.9971 - val_accuracy: 0.7000 Epoch 99/100 43/43 [==============================] - loss: 1.9424e-07 - accuracy: 1.0000 - val_loss: 1.9958 - val_accuracy: 0.7010 Epoch 100/100 43/43 [==============================] - 21s 497ms/step - loss: 1.6654e-07 - accuracy: 1.0000 - val_loss:0 码力 | 56 页 | 18.93 MB | 1 年前3
Game Development for Human Beings42 //also keep in mind that the cup images are a bit smaller than the tile which is 16x16 43 //so they might not be placed in the exact position as in Tiled 44 element.y -= map Zenva for Schools – Coding courses for high schools ©2016 Zenva Pty Ltd all rights reserved Page 43 http://gamedev.stackexchange.com/questions/22277/difference-between-orthogonal-map- and-isometric-map) collision_tiles.indexOf(tile.index) === -1) { 42 collision_tiles.push(tile.index); 43 } 44 }, this); 45 }, this); 46 this.map0 码力 | 472 页 | 8.46 MB | 10 月前3
Golang Manual By AstaXie-20120522AttrFriend Attr = 0x41 AttrIdentifierCase Attr = 0x42 AttrMacroInfo Attr = 0x43 AttrNamelistItem Attr = 0x44 AttrPriority Attr = 0x45 AttrSegment Attr = Machine = 40 /* ARM. */ EM_SH Machine = 42 /* Hitachi SH. */ EM_SPARCV9 Machine = 43 /* SPARC v9 64-bit. */ EM_TRICORE Machine = 44 /* Siemens TriCore embedded processor. */ R_SPARC_WDISP19 R_SPARC = 41 R_SPARC_GLOB_JMP R_SPARC = 42 R_SPARC_7 R_SPARC = 43 R_SPARC_5 R_SPARC = 44 R_SPARC_6 R_SPARC = 45 R_SPARC_DISP64 R_SPARC =0 码力 | 6205 页 | 12.83 MB | 1 年前3
julia 1.13.0 DEVage capture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 549 II Base 552 43 Essentials 553 43.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220446049250313e-16 julia> eps(1000.) 1.1368683772161603e-13 julia> eps(1e-27) 1.793662034335766e-43 julia> eps(0.0) 5.0e-324 The distance between two adjacent representable floating-point numbers julia> (-1 + 2im)^2.5 2.729624464784009 - 6.9606644595719im 42CHAPTER 7. COMPLEX AND RATIONAL NUMBERS 43 julia> (-1 + 2im)^(1 + 1im) -0.27910381075826657 + 0.08708053414102428im julia> 3(2 - 5im) 6 -0 码力 | 2058 页 | 7.45 MB | 3 月前3
Julia 1.12.0 RC1age capture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 550 II Base 553 43 Essentials 554 43.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220446049250313e-16 julia> eps(1000.) 1.1368683772161603e-13 julia> eps(1e-27) 1.793662034335766e-43 julia> eps(0.0) 5.0e-324 The distance between two adjacent representable floating-point numbers julia> (-1 + 2im)^2.5 2.729624464784009 - 6.9606644595719im 42CHAPTER 7. COMPLEX AND RATIONAL NUMBERS 43 julia> (-1 + 2im)^(1 + 1im) -0.27910381075826657 + 0.08708053414102428im julia> 3(2 - 5im) 6 -0 码力 | 2057 页 | 7.44 MB | 3 月前3
Julia 1.12.0 Beta4age capture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 549 II Base 552 43 Essentials 553 43.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220446049250313e-16 julia> eps(1000.) 1.1368683772161603e-13 julia> eps(1e-27) 1.793662034335766e-43 julia> eps(0.0) 5.0e-324 The distance between two adjacent representable floating-point numbers julia> (-1 + 2im)^2.5 2.729624464784009 - 6.9606644595719im 42CHAPTER 7. COMPLEX AND RATIONAL NUMBERS 43 julia> (-1 + 2im)^(1 + 1im) -0.27910381075826657 + 0.08708053414102428im julia> 3(2 - 5im) 6 -0 码力 | 2057 页 | 7.44 MB | 3 月前3
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