Skip to content

Commit 38ab23e

Browse files
donnemartindonnemartin
authored
Add Keras tutorials resources donnemartin#49 (donnemartin#51)
1 parent e0195b4 commit 38ab23e

Some content is hidden

Large Commits have some content hidden by default. Use the searchbox below for content that may be hidden.

68 files changed

+23509
-0
lines changed

‎deep-learning/keras-tutorial/0. Preamble.ipynb

+759
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/1.1 Introduction - Deep Learning and ANN.ipynb

+1,721
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/1.2 Introduction - Theano.ipynb

+1,018
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/1.3 Introduction - Keras.ipynb

+634
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/1.4 (Extra) A Simple Implementation of ANN for MNIST.ipynb

+406
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/2.1 Supervised Learning - ConvNets.ipynb

+906
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/2.2.1 Supervised Learning - ConvNet HandsOn Part I.ipynb

+487
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/2.2.2 Supervised Learning - ConvNet HandsOn Part II.ipynb

+1,005
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/2.3 Supervised Learning - Famous Models with Keras.ipynb

+716
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/3.1 Unsupervised Learning - AutoEncoders and Embeddings.ipynb

+2,253
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/3.2 RNN and LSTM.ipynb

+557
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/3.3 (Extra) LSTM for Sentence Generation.ipynb

+964
Large diffs are not rendered by default.

‎deep-learning/keras-tutorial/4. Conclusions.ipynb

+120
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,120 @@
1+
{
2+
"cells": [
3+
{
4+
"cell_type": "markdown",
5+
"metadata": {},
6+
"source": [
7+
"Credits: Forked from [deep-learning-keras-tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow) by Valerio Maggiohttps://github.com/donnemartin/system-design-primer"
8+
]
9+
},
10+
{
11+
"cell_type": "markdown",
12+
"metadata": {
13+
"slideshow": {
14+
"slide_type": "slide"
15+
}
16+
},
17+
"source": [
18+
"# Conclusions"
19+
]
20+
},
21+
{
22+
"cell_type": "markdown",
23+
"metadata": {
24+
"slideshow": {
25+
"slide_type": "subslide"
26+
}
27+
},
28+
"source": [
29+
"* Keras is a powerful and battery-included framework for Deep Learning in Python\n",
30+
"\n",
31+
"* Keras is **simple** to use..\n",
32+
"\n",
33+
"* ...but it is **not** for simple things!"
34+
]
35+
},
36+
{
37+
"cell_type": "markdown",
38+
"metadata": {
39+
"slideshow": {
40+
"slide_type": "subslide"
41+
}
42+
},
43+
"source": [
44+
"<img src=\"imgs/keras_rank_1.jpg\" width=\"65%\" />"
45+
]
46+
},
47+
{
48+
"cell_type": "markdown",
49+
"metadata": {
50+
"slideshow": {
51+
"slide_type": "subslide"
52+
}
53+
},
54+
"source": [
55+
"<img src=\"imgs/keras_rank_2.jpg\" width=\"65%\" />"
56+
]
57+
},
58+
{
59+
"cell_type": "markdown",
60+
"metadata": {
61+
"slideshow": {
62+
"slide_type": "slide"
63+
}
64+
},
65+
"source": [
66+
"## Some References for .."
67+
]
68+
},
69+
{
70+
"cell_type": "markdown",
71+
"metadata": {
72+
"slideshow": {
73+
"slide_type": "fragment"
74+
}
75+
},
76+
"source": [
77+
"#### Cutting Edge\n",
78+
"\n",
79+
"* Fractal Net Implementation with Keras: https://github.com/snf/keras-fractalnet -\n",
80+
"* Please check out: [https://github.com/fchollet/keras-resources]()"
81+
]
82+
},
83+
{
84+
"cell_type": "markdown",
85+
"metadata": {
86+
"slideshow": {
87+
"slide_type": "fragment"
88+
}
89+
},
90+
"source": [
91+
"#### Hyper-Cool\n",
92+
"\n",
93+
"* Hyperas: https://github.com/maxpumperla/hyperas\n",
94+
" - A web dashboard for Keras Models"
95+
]
96+
}
97+
],
98+
"metadata": {
99+
"celltoolbar": "Slideshow",
100+
"kernelspec": {
101+
"display_name": "Python 3",
102+
"language": "python",
103+
"name": "python3"
104+
},
105+
"language_info": {
106+
"codemirror_mode": {
107+
"name": "ipython",
108+
"version": 3
109+
},
110+
"file_extension": ".py",
111+
"mimetype": "text/x-python",
112+
"name": "python",
113+
"nbconvert_exporter": "python",
114+
"pygments_lexer": "ipython3",
115+
"version": "3.4.3"
116+
}
117+
},
118+
"nbformat": 4,
119+
"nbformat_minor": 0
120+
}

‎deep-learning/keras-tutorial/LICENSE

+21
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,21 @@
1+
The MIT License (MIT)
2+
3+
Copyright (c) 2017 MPBA
4+
5+
Permission is hereby granted, free of charge, to any person obtaining a copy
6+
of this software and associated documentation files (the "Software"), to deal
7+
in the Software without restriction, including without limitation the rights
8+
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9+
copies of the Software, and to permit persons to whom the Software is
10+
furnished to do so, subject to the following conditions:
11+
12+
The above copyright notice and this permission notice shall be included in all
13+
copies or substantial portions of the Software.
14+
15+
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16+
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17+
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18+
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19+
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20+
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21+
SOFTWARE.

‎deep-learning/keras-tutorial/data/female_blog_list.txt

2.13 MB
Binary file not shown.

‎deep-learning/keras-tutorial/data/intro_to_ann.csv

+1
Original file line numberDiff line numberDiff line change
@@ -0,0 +1 @@
1+
Feature1,Feature2,Target2.067788388,0.258133225,10.993994008,-0.609144512,1-0.690315436,0.749920622,01.023582376,0.52900308,00.700747058,-0.496724018,10.955062941,0.371061016,0-0.051023466,0.009786883,12.111668915,0.29146667,11.173019389,-0.101473076,0-0.57794707,1.277303087,00.909597624,0.036308672,02.077734242,0.629147857,1-0.962290964,0.827233623,00.947003591,-0.290186106,10.383209976,-0.309917567,1-0.150287574,0.317294355,10.080361123,0.502094351,11.200125191,-0.527865179,1-0.922386507,0.465574823,00.512394856,-0.033492128,10.660176708,0.354198518,00.919878779,-0.59377197,10.185474117,-0.214731663,1-0.963168026,0.294003942,01.426699651,-0.099509079,10.976457825,-0.449373622,11.75471374,-0.261642816,11.168186512,-0.672740552,10.27774654,-0.607361346,10.672725148,0.666333709,00.002033057,0.376967935,10.314327033,-0.243225802,10.931967471,0.173111872,0-0.409800131,0.597131669,0-0.476941175,1.019581533,00.838882632,-0.071573271,01.033284866,-0.525249709,10.326116205,-0.577021121,10.85947284,1.340802524,01.551221655,-0.528586441,10.101201434,0.540632498,0-0.09049836,0.749596127,12.028777695,0.151478964,10.580198862,1.033262412,00.192071709,-0.121336928,1-1.462223951,0.07106442,01.906780301,0.506260992,10.695029196,-0.599016144,11.001086685,-0.70844148,11.110090768,-0.339190684,10.710397938,-0.460291185,12.042904712,-0.090700237,10.456990999,-0.563120595,10.087652349,0.095485193,11.332034469,-0.563468501,10.360617086,0.455561453,01.579667988,0.251685059,10.597723548,0.688549389,0-0.805950346,1.010476996,00.271306147,0.832912579,01.899341837,0.044502462,11.527602184,-0.735397326,11.639754245,-0.27615701,1-0.037638919,0.923068888,00.176032053,0.076067456,12.148428077,0.031181293,10.045108737,0.218221448,10.724493125,0.363354865,0-0.664756351,0.643436386,0-0.801725803,0.999480546,00.861801719,0.844010631,01.727336522,0.145706011,11.704197081,0.113234553,1-0.288162751,0.584628604,10.327757328,0.535062913,10.180931746,1.191129451,01.090762095,-0.099058367,00.152277456,0.337631885,1-0.873448576,0.616061304,01.000549409,0.326569244,0-0.384538159,0.632005344,0-0.26699789,0.155658861,1-0.083148995,0.434163485,10.682670623,0.418051246,01.230411746,-0.810815948,10.164731882,1.030431426,0-1.176887533,0.440652126,00.222984654,0.280817027,11.840889076,0.239281488,10.07449561,-0.282217468,1-0.024120207,0.304116449,10.148422149,0.027105547,1-1.031412466,0.380071744,0-0.943866831,0.600079978,01.040815444,-0.442568799,11.497320582,-0.390044387,10.262257211,0.096298493,11.835052164,-0.103412045,10.212307547,0.256849647,1-0.214058501,1.330767658,00.072106929,-0.279012748,10.510387152,0.89046706,00.859342773,-0.430765764,11.231053667,0.281765888,02.095878754,-0.124457184,1-0.048682973,0.848149869,0-0.069962169,0.732770866,00.921461668,0.537777084,0-0.072085224,0.445207272,10.691680107,-0.670960694,11.996373123,-0.06278932,1-0.029574955,-0.143949774,1-1.180878055,0.287093293,0-0.809065601,0.981521134,00.792498292,0.754776331,00.570914979,0.418499076,00.959679592,-0.614855395,10.683776074,0.718920684,00.268748478,-0.539059384,10.829946449,0.810127371,00.602300611,1.060983364,01.089894854,-0.258045447,01.215326407,-0.108394387,10.363525509,1.059532137,00.87411916,0.790742277,0-0.343226394,-0.150687513,1-0.963432794,0.169237163,00.126423731,0.257156827,1-1.266957539,0.122578452,01.809965093,0.521589108,1-0.228845381,0.864591676,01.037129806,0.052176264,01.53870046,-0.054829392,11.843084808,0.119603176,10.182608949,0.360479486,1-0.783997593,0.898602849,0-0.927885151,0.846814488,0-0.869158721,0.860426049,01.432638854,-0.684939943,10.585717127,0.931606566,01.756197562,0.520718884,11.591918487,0.03892334,10.910273683,1.120535967,00.043718854,-0.324789656,1-0.20580902,0.603084516,00.79754503,-0.671824307,10.132794235,0.301552639,1-0.088050173,0.956326244,0-0.910303685,-0.140268609,01.273308231,-0.369064664,11.832106199,0.641188872,1-0.073000565,1.023659911,00.097588494,-0.365188283,11.15143737,-0.378877952,11.006185066,0.586229182,0-1.059323432,0.265637226,00.437426846,-0.184497995,10.24070156,0.771780065,01.826147629,-0.005370137,1-0.698250117,0.518885048,00.033997867,1.002559399,0-0.365756211,0.467188778,12.072602655,0.840845991,11.282207264,-0.3852855,10.294091067,-0.106090673,1-0.684048777,0.498068262,00.569431434,-0.166176935,11.240374044,-0.338748665,10.296825382,-0.070172696,1-1.002931362,0.137418862,00.772972777,0.39039837,00.199129842,1.169529783,00.272673306,1.177485462,01.300638002,-0.454605085,11.564634514,0.44804985,1-0.040331609,1.026401238,01.629887767,0.244857792,11.143086991,-0.604189955,10.396320491,-0.39621675,1-0.626659052,1.014021465,01.721056871,0.646281907,1-0.604186387,0.703327277,00.057670035,1.272818815,00.454523688,-0.401695138,1-0.670639988,0.612491482,00.328273511,1.160241489,00.510588023,1.016852601,00.789854793,0.132560638,00.500701227,0.528972528,00.961569333,0.454935146,01.80512166,0.544117663,10.030248855,1.07059265,01.73386192,0.379948472,1-0.881264897,0.33091525,00.645125709,0.010547475,0-0.567454227,1.065282884,00.275296535,-0.175275933,1-0.633857944,0.464939873,0-1.056542614,0.685542647,00.228879606,1.134429351,0-0.053634126,0.322480786,1-0.118192714,0.309408119,10.409426898,-0.434405407,11.229937385,-0.210990997,01.981178869,0.257237744,11.625934204,-0.617482966,1-0.472291616,0.878888915,02.192799683,0.328102442,10.960354135,0.077361355,0-0.790501055,1.31421158,02.237470292,0.06894621,11.414529152,-0.518533021,10.610237507,0.683805557,01.233649984,-0.556688892,10.586796523,-0.251126721,10.81754217,0.666592737,00.580221038,0.932275998,00.058137766,0.896289048,00.579846614,-0.567698327,11.929656615,0.156016477,10.992711133,-0.027168436,02.027815527,0.363122856,11.338652267,-0.823465756,11.598191518,-0.411064707,10.976142984,-0.190358151,01.61250291,-0.521032611,11.35546992,-0.490609874,10.499861695,1.058450639,01.015369625,0.207315117,01.018118245,0.456516401,01.096461863,-0.280727167,1-1.194040968,0.416441978,00.568309164,0.647458129,00.960588057,0.208865115,01.449178024,-0.459902987,11.88199633,0.466290375,10.631996864,-0.309905342,10.654989783,-0.253093095,10.84516718,0.285090431,00.401198088,0.436221932,00.527232031,0.768876824,00.372940088,-0.3860018,12.066393868,-0.539216929,11.430582326,-0.388926174,10.189907716,-0.056403166,10.882697896,-0.734363957,1-1.190098679,0.637042186,0-0.894856639,0.556642259,00.70215789,-0.187835487,11.950487011,-0.345075672,10.022418039,1.004134807,00.849971596,-0.21483451,12.036410764,-0.025556022,10.275048593,-0.408398856,1-0.108810254,0.159667885,10.938494136,0.64097432,0-0.236808252,0.341747012,10.835324588,0.327895824,00.833630821,0.38695039,00.602538337,-0.450144939,1-1.316428825,0.754775796,01.844066074,0.193577285,11.064502653,-0.496454037,10.642658768,-0.020278558,11.016500344,-0.411243574,11.975868019,-0.0481966,10.993444732,-0.573538352,10.261224684,1.209148214,01.207647248,-0.681878027,11.029184593,0.662369558,0-0.896113151,0.767599977,00.447930908,-0.476552598,11.193378751,-0.671368037,10.986163944,0.389985835,01.515764334,0.093743109,10.869459733,0.054546438,01.063058924,-0.003285827,10.094687292,-0.154667249,1-0.215654363,1.093575329,0-1.106925474,0.335575538,01.284327882,0.263986996,0-1.337557833,-0.00412942,00.340293431,0.213608836,11.058099207,-0.020903818,0-0.360133801,1.078035323,0-0.644516105,0.488370431,0-0.906095366,0.215727927,0-0.652783156,1.173715873,01.022420252,0.192338596,0-0.780675441,0.879523891,00.916308838,0.419944074,00.087696458,1.06618628,0-0.495034594,0.721509893,00.604990594,-0.164890834,11.155923352,-0.549577539,10.071604266,1.697739637,0-0.994669061,-0.007707493,01.480666468,-0.397497896,10.202685948,0.755654894,00.760454103,-0.180150242,00.029265726,0.06831265,1-0.96321318,0.368704483,0-1.070563993,0.553634924,00.046489389,0.953371901,00.486832393,-0.538941402,10.22261155,-0.15254824,12.179258079,0.541416792,1-0.64634876,0.06402454,00.506319646,-0.86308181,12.114109853,-0.398015027,1-0.03509274,0.108265231,1-0.029109978,0.427875674,1-0.140841702,0.661982894,00.266868529,-0.14631097,1-0.998676417,0.116940821,00.082773572,0.961283817,00.941346049,-0.384150223,11.501332258,-0.275121139,10.29313361,0.37612275,10.539404176,0.643377656,00.189764846,0.00193534,11.556984609,-0.165952231,1-0.24062961,0.071192873,10.919671265,0.383063909,0-0.672636342,1.001715405,01.09642227,0.907604584,01.130676385,0.057702229,01.380338971,-0.376954849,10.090890973,0.118510932,11.858138806,0.239015185,10.179356967,-0.183583258,10.482296078,-0.651576504,10.761994902,0.633107619,02.473241953,7.86E-05,1-0.245505241,0.336720392,0-0.349850263,0.356718546,00.221741674,0.790938927,00.453347673,0.734276866,00.701948022,1.279234222,00.313783222,-0.62045118,1-0.73809991,0.409950052,0-0.650429008,0.41313687,00.81779875,-0.780491191,11.295782411,-0.615319879,1-0.882350817,0.7161834,01.225622536,-0.199088478,11.701879096,0.109120994,1-0.845272933,0.584193311,00.159783489,0.90737903,00.20528482,0.854610183,01.167600439,-0.072608591,1-1.002638614,0.325598778,0-0.771454661,0.289385589,01.657852572,-0.432481714,1-1.140596214,0.368647611,00.05651217,-0.27020989,11.222078237,-0.107769216,10.166799331,-0.092400646,11.382139915,-0.54972713,1-0.060441546,1.072743677,00.734895361,0.442755242,00.803896949,-0.493066015,11.953519644,-0.175476112,12.414351092,0.333630678,10.775111425,-0.812628459,1-0.348238275,0.963577238,00.366964433,-0.310046727,1-0.790850087,0.103205044,00.172920477,0.768141966,0-0.028795956,0.686002968,00.796633375,0.482423152,00.849063798,0.672392408,00.361955413,0.991183959,00.119040405,-0.367741577,1-0.492589106,0.625064565,0-0.54233366,0.469779538,01.763243475,0.309898796,1-1.153543233,-0.07626472,01.071246403,-0.310178222,00.906786599,0.546905393,02.090023124,0.414629671,12.083480948,0.249232463,11.186357975,-0.187071486,00.738270466,-0.307318366,11.891660982,-0.294302439,1-0.77720761,0.938230073,00.405869823,0.838221554,0-0.701489744,0.255676765,00.387436461,0.895997608,0-0.426901469,0.796977399,01.252474088,0.419778642,0-1.322590514,0.450941153,00.247652562,-0.108573295,1-0.850472738,0.854716727,0-0.507554218,1.177745763,00.54236405,1.049010618,0-0.125318758,0.557509852,11.370866032,-0.322147727,11.825410945,-0.379217248,11.562090065,0.210769453,10.434462285,0.950519364,00.131676796,0.935932583,01.229664001,0.725615425,00.312860044,0.989189572,01.90131256,0.15072306,10.193500004,1.050598819,00.03392665,0.407114286,11.651426238,-0.379391344,12.053219604,-0.039639925,10.243898894,-0.03794715,1-1.113157386,0.744162073,0-1.331684771,0.319815034,00.127646667,0.956519535,00.998491626,-0.49700126,10.662523004,0.055986284,0-0.777262489,0.055346478,0-0.731865243,0.305513652,0-0.640417258,0.809781443,0-0.76055756,0.491641159,01.151879338,-0.336581332,10.800560366,-0.542805923,10.884866314,0.583140372,00.925878139,0.740087536,00.874841419,0.430962575,0-0.198712663,0.913528351,02.103667833,0.397014915,12.059901907,-0.231619581,10.473996884,-0.27048088,1-0.57451854,0.584002067,0-0.701419019,0.397124136,00.711614355,0.782885753,0-0.496588268,1.302124802,00.066449298,0.784290559,00.538144645,-0.130769101,11.755682505,0.025561113,1-0.849798595,0.931951784,00.333367885,-0.132341271,10.705602088,-0.229055609,1-0.873354454,-0.49267613,0-0.825327122,0.67304811,01.517665755,-0.523883147,10.120672904,-0.07052083,10.725710646,0.762302198,00.344673,0.208553298,10.263766538,0.049840726,1-0.88392615,0.497464642,0-1.156119607,0.170227029,01.248965737,0.369726326,00.952682479,-0.36811615,11.727901537,0.0372861,1-0.767097925,0.709731654,01.165707539,0.769217807,00.049487533,0.720903576,0-0.539098522,0.824388711,0-0.982058703,0.288854587,01.528935488,-0.112802146,1-0.672473504,0.686282233,00.895096305,0.665784299,0-0.00760403,0.924168238,0-0.240290739,1.021991518,0-0.283467781,1.045292529,0-1.026508891,0.459402069,01.588325794,-0.338967375,1-0.348265559,1.213028067,00.77874607,-0.653521284,11.806149473,0.021203959,1-0.129694598,0.725221931,0-0.373456638,0.592067642,00.990046473,-0.464129679,11.772713799,-0.601498909,10.631039539,1.099329971,01.856709577,-0.190336881,10.018943698,0.21532497,10.172846724,0.604169382,00.557979808,0.757427667,00.080418897,0.119262443,1-0.897248067,0.438920507,00.261996093,0.918375619,00.678953635,-0.435800274,11.210765492,-0.599573281,10.557261634,0.939216926,00.134711277,1.06457682,01.607493338,0.190921234,11.420577116,-0.148027678,11.744704015,-0.140667505,1-0.215743207,1.230288577,00.750635451,-0.116643372,11.778321698,-0.54794534,10.957379288,0.795259767,0-0.10590001,-0.197994179,11.851059402,-0.071373547,10.338727554,-0.211027921,11.960801446,-0.089686612,1-0.17839517,0.727372153,1-0.380811187,0.995282564,0-1.215691519,0.453117521,0-0.283985656,0.10845028,10.859746592,-0.59355665,1-0.235539753,0.951239001,00.304995074,-0.57115376,1

‎deep-learning/keras-tutorial/data/male_blog_list.txt

2.46 MB
Binary file not shown.

‎deep-learning/keras-tutorial/data/mnist.pkl.gz

14.6 MB
Binary file not shown.

0 commit comments

Comments
 (0)