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Rishabh ShuklaA few reads about Machine Learning and Natural Language Processing
http://rishy.github.io/
A few reads about Machine Learning and Natural Language Processing
http://rishy.github.io/
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Rishabh Shukla | rishy.github.io Reviews
https://rishy.github.io
A few reads about Machine Learning and Natural Language Processing
rishy.github.io
Normal/Gaussian Distributions – Rishabh Shukla
http://rishy.github.io/stats/2015/07/21/normal-distributions
Jul 21, 2015. Normal Distributions are the most common distributions in statistics primarily because they describe a lot of natural phenomena. Normal distributions are also known as ‘Gaussian distributions’ or ‘bell curve’, because of the bell shaped curve. I don’t intend to cover a lot of mathematical background regarding normal distributions, still it won’t hurt to know just a few simple mathematical properties of normal distributions:. Bell curve is symmetrical about mean(which lies at the center).
L1 vs. L2 Loss function – Rishabh Shukla
http://rishy.github.io/ml/2015/07/28/l1-vs-l2-loss
L1 vs L2 Loss function. Jul 28, 2015. Least absolute deviations(L1) and Least square errors(L2) are the two standard loss functions, that decides what function should be minimized while learning from a dataset. L1 Loss function minimizes the absolute differences. Between the estimated values and the existing target values. So, summing up each target /span value ( y i ). And corresponding estimated value ( h(x i) ). Where ( x i ). Begin{align*} and S = sum {i=0} n y i - h(x i) end{align*} $. As a result, ...
Dropout with Theano – Rishabh Shukla
http://rishy.github.io/ml/2016/10/12/dropout-with-theano
Oct 12, 2016. Almost everyone working with Deep Learning would have heard a smattering about Dropout. Albiet a simple concept( introduced. A couple of years ago), which sounds like a pretty obvious way for model averaging, further resulting into a more generalized and regularized Neural Net; still when you actually get into the nitty-gritty details of implementing it in your favourite library(theano being mine), you might find some roadblocks there. Why? In very simple terms -. Let’s dive straight into t...
Rishabh Shukla
http://rishy.github.io/page2
May 8, 2015. Phishing Websites detection with Random Forest, along with the breakdown of most important features, while detecting a phishing website. May 19, 2014. Google Summer of Code 2014. Got Selected for Google Summer of Code 2014, with Mifos as my mentoring organization. You are free to use the Source Code available at Github. Theme by John Otander.
How to train your Deep Neural Network – Rishabh Shukla
http://rishy.github.io/ml/2017/01/05/how-to-train-your-dnn
How to train your Deep Neural Network. Jan 5, 2017. There are certain practices in Deep Learning. That are highly recommended, in order to efficiently train Deep Neural Networks. And Practical Recommendations for Deep Architectures(Yoshua Bengio). A lot of ML practitioners are habitual of throwing raw training data in any Deep Neural Net(DNN). And why not, any DNN would(presumably) still give good results, right? But, it’s not completely old school to say that - given the right type of data, a fairly sim...
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Rishworth Sports Club :: Welcome to Rishworth Sports Club
Welcome and About Us. Welcome to Rishworth Sports Club. Rishworth Sport’s Club is set in the heart of the Ryburn Valley with ample parking and easy access. It boasts a 25m swimming pool, spacious changing facilities, 2 squash courts, a badminton court and a spacious reception area. We offer a variety of classes including Spinning, Zumba and Kombat and welcome new members. Sunday 27th September 2015. Train to be a lifeguard with us, further details available here. MORE. Rishworth, HX6 4QA. Good luck to ev...
Rishwrath (Insert brain here) - DeviantArt
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Rishabh Shukla
Jan 5, 2017. How to train your Deep Neural Network. List of commonly used practices for efficient training of Deep Neural Networks. Oct 12, 2016. Implementing a Dropout Layer with Numpy and Theano along with all the caveats and tweaks. Jul 28, 2015. L1 vs L2 Loss function. Comparison of performances of L1 and L2 loss functions with and without outliers in a dataset. Jul 21, 2015. Jun 10, 2015. Electricity Demand Analysis and Appliance Detection. You are free to use the Source Code available at Github.
Rishy Writes !!
Thursday, May 25, 2006. Hi All. Change In Blog Address. Please Note that My Blog Address w.e.f. 2:00 am 25th May 2006, is. Http:/ rishywrites.blogspot.com/. Let the Blogs Flow. Posted by Rishy at 2:41 AM. View my complete profile. Hi All. Change In Blog Address.
Blog de rishy410o - ♥Dr.Z♥ - Skyrock.com
Mot de passe :. J'ai oublié mon mot de passe. 9829;Dr.Z♥. Un blog de star.100 pour 100 fashion attitude. Et 100 pour 100 positiv atitude (meme si c tré dur defoi mdr). 9553;▌║││█ ▌│║█║▌║. Productìon ՁO10 ™. Mise à jour :. NEW SONG : ENRIQUE IGLESIAS ft Ludacris - Tonight (Paroles) (/). Abonne-toi à mon blog! Présente tOii en 6 cOm`s ]. 1 cOm`s par renseiignement xD. Ou poster avec :. Retape dans le champ ci-dessous la suite de chiffres et de lettres qui apparaissent dans le cadre ci-contre. N'oublie pas ...
家族葬のあおい【たしろ会館 会館使用料無料】
宝塚市 家族葬 宝塚市内 寺院会館でのお葬式. 西宮市 葬儀 家族葬 満池谷斎場での家族葬 26名. 宝塚 じさを荘で８名の家族葬 宝塚市 葬儀会館 斎場. 宝塚市内 宝塚 じさを荘での家族葬 １０名でのお別れ. 無宗教お別れ会 西宮市 家族葬 地域集会所にて. 芦屋市 西法寺 葬儀 芦屋市 家族葬 家族８名のお葬式 寺院本堂. 芦屋市 西法寺 家族葬 １０名 素敵な寺院本堂での家族葬. ＴＥＬ ０７９８ ７７ ５８７６.
Rishyap, Rishop - Hotels in Rishyap
9 Km Jeep able road or only 3 km easy pleasure trek from lava leads you to a beautiful small hamlet Rishyap/Risop, nestles amidst the hidden hills of Neora Valley. The 300 degree visible mountain ranges you can find from Rish. Are (left to right) Mt.Kharg, Kokthang, Rathung, Kabroo (North, South, Dome and Fourth), Talung, Pandim, Khang-Chen-D-Zongha, Simvo, Narsingh, Siniolchu. You can also do trekking in Rishyap/Risop. You can enjoy the finest view of forest in Rishyap/Risop. Tifindara is a fine...A num...
rishyap.paradisehotelsgroup.com
Paradise Group of Hotels
Hotel Paradise - LAVA. Sunakhari Inn - LOLEYGAON. Alakananda Resort - KALIMPONG. Glen Vista Retreat - CHARKHOLE. Paradise Villa - RISHYAP. Tashi Home Stay - Echeygaon. Paradise Villa - RISHYAP. Take a pick between a 11 km jeep ride and a 4 km pleasant trek from Lava to reach Rishyap. At an altitude of 8500 feet above the sea level, Rishyap offers a panaromic view of the Kanchenjunga range. Some say the sunrise from here is even better than that from the Tiger Hill. How to get there. Semi Dlx. Triple.
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