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- ...g, which treats segmentation similar to how the popular image classifier U-net treats image segmentation. It does not need hyperparameter or architectural U-Time is a fully convolutional encoder-decoder network. Inspired from U-Net, U-time performs 1D time series segmentation by mapping a whole sequence to ...8 KB (1,170 words) - 01:41, 26 November 2021
- ...mplicated and have high memory requirements while performing many floating-point operations (FLOPs). As a result, running many of these models will be very ...energy-savings because integer operations are more efficient than floating point (see the table below). Also, there already exists dedicated hardware for de ...20 KB (2,998 words) - 21:23, 20 April 2018
- ...k, the artificial intelligence may not learn it very well. For instance, a net with pixel dimension 1000*1000 is less likely to identify complicated objec [[File:CSLFigure1.PNG | 500px]] ...27 KB (4,358 words) - 15:35, 7 December 2020
- ...in this paper, whose output distribution is proved to converge to a fixed point, thus making it possible to train deeper networks. ===Self-Normalizing Neural-Net (SNN)=== ...45 KB (6,836 words) - 23:26, 20 April 2018
- ...ing is to process images captured from a pair of stereo cameras, produce a point cloud and use various heuristics to build a traversability map <ref name="g ...rithms to map traversability information to color histograms or geometric (point cloud) data has achieved success in the DARPA challenge. ...20 KB (3,026 words) - 09:46, 30 August 2017
- [[File:intro.png]] ...btain a prediction. Thus, at test time, the idea is to use a single neural net without dropout. The weight of this network are scaled-down versions of the ...13 KB (2,182 words) - 09:46, 30 August 2017
- [[File:thompson sampling coin example.png|thumb||||600px|Source: [https://www.quora.com/What-is-Thompson-sampling-in- [[File:dropout_results.png|thumb||center||700px|Source: this paper's appendix]] ...33 KB (5,439 words) - 14:17, 3 December 2017
- ...eft: auto; margin-right: auto;">[[File:Screen_Shot_2018-11-10_at_6.03.00_PM.png|150px]] ...eft: auto; margin-right: auto;">[[File:Screen Shot 2018-11-10 at 6.03.08 PM.png|400px]]</div> ...21 KB (3,227 words) - 18:12, 14 December 2018
- # Using a multi-scale convolutional net to learn good features for region classification ...image representations. In the first representation, the image is seen as a point in a high-dimensional space, and we seek to find a transform <math>f: \math ...12 KB (1,895 words) - 09:46, 30 August 2017
- [[File:Experiment Set Up.png |800px| center]] [[File:Categories Multilabel.png|800px|center]] ...29 KB (4,464 words) - 00:08, 15 December 2020
- ...re x and y are the offset distance in x and y directions from the previous point. The parameters <math>p_{1}, p_{2}, p_{3}</math> represent three possible s [[File:sketchfig2.png|700px|center]] ...30 KB (4,807 words) - 00:40, 17 December 2018
- ...For example, the winner of the COCO 2016 competition was an [http://image-net.org/challenges/talks/2016/GRMI-COCO-slidedeck.pdf ensemble of CNNs], which * The feature concatenation method from DenseNets(Dense net is CNN with shorter connections close to input and output) allows the later ...18 KB (2,750 words) - 22:45, 20 April 2018
- [[File:fig1_generated_image.png|thumb|upright=2|center|alt=text|alt=text|Figure 1: Examples of generated im [[File:fig2_VAE.png|thumb|upright=2|center|alt=text|Figure 2: Structure of a VAE]] ...25 KB (4,196 words) - 01:32, 14 November 2018
- ...the problem of calling SNPs and small indels using a convolutional neural net by casting the reads as images and classifying whether they contain a mutat ...reference sequence independently. Any unusable reads are filtered at this point. This includes reads that are not appropriately aligned, marked as duplicat ...18 KB (2,856 words) - 04:24, 16 December 2020
- [[File:SampleQA.png|400px|centre]] ...t variable when determining the answer. This is written as: [[File:formula1.png|200px]] ...32 KB (5,284 words) - 22:03, 19 March 2018
- This page contains a summary of the paper "[https://openreview.net/forum?id=ryRh0bb0Z Multi-View Data Generation without Supervision]" by Mick ...of handling multi-view inputs has mainly been studied from the predictive point of view where one wants, for example, to learn a model able to predict/clas ...24 KB (4,054 words) - 00:34, 14 December 2018
- point, from which a global fine-tuning of the model’s parameters is then performe [[File:W1.png]] ...14 KB (2,189 words) - 09:46, 30 August 2017
- (Reference: https://www.recode.net/2015/7/15/11614684/ai-conspiracy-the-scientists-behind-deep-learning) [[File:capsules.png| frame | center |Fig 2.]] ...14 KB (2,384 words) - 12:36, 29 March 2018
- [[File:Q12.png]] [[File:LISTA2.png |frame | center |Figure 1: Comparison of LISTA and FISTA. Squared-error in ...22 KB (3,321 words) - 09:46, 30 August 2017
- ...researchers recently published a highly related paper "[https://openreview.net/pdf?id=HJWLfGWRb Matrix Capsules with EM Routing]" for ICLR 2018. Source co [[File:adversarial_img_1.png |center]] ...32 KB (5,106 words) - 00:36, 17 December 2018