41554 blogs · [ { "id": "01a0cac4-0d3d-72bb-ace1-6003c69e71f1", "title": "Moving Numbers To Upside Down: Extended Euclidean Algorithm", "url": "https://sefiks.com/2018/02/07/moving-numbers-to-upside-down-extended-euclidean-algorithm/", "published_at": "2018-02-07T18:58:42+00:00" }, { "id": "01a0cac4-57e0-71c6-8847-02fd5e0ff916", "title": "Real Time Facial Expression Recognition on Streaming Data", "url": "https://sefiks.com/2018/01/10/real-time-facial-expression-recognition-on-streaming-data/", "published_at": "2018-01-10T21:12:57+00:00" }, { "id": "01a0cac4-57e0-71c6-8847-02fd5e958031", "title": "Sinc as a Neural Networks Activation Function", "url": "https://sefiks.com/2018/01/07/sinc-as-a-neural-networks-activation-function/", "published_at": "2018-01-07T13:30:48+00:00" }, { "id": "01a0cac4-57e0-71c6-8847-02fd5f7810de", "title": "ELU as a Neural Networks Activation Function", "url": "https://sefiks.com/2018/01/02/elu-as-a-neural-networks-activation-function/", "published_at": "2018-01-02T20:19:40+00:00" }, { "id": "01a0cac4-57e0-71c6-8847-02fd6052a96b", "title": "Facial Expression Recognition with Keras", "url": "https://sefiks.com/2018/01/01/facial-expression-recognition-with-keras/", "published_at": "2018-01-01T08:19:31+00:00" }, { "id": "01a0cac4-57e0-71c6-8847-02fd61073a17", "title": "A Gentle Introduction to Cross-Entropy Loss Function", "url": "https://sefiks.com/2017/12/17/a-gentle-introduction-to-cross-entropy-loss-function/", "published_at": "2017-12-17T11:46:56+00:00" }, { "id": "01a0cac4-57e0-71c6-8847-02fd61c8d5a7", "title": "Transfer Learning in Keras Using Inception V3", "url": "https://sefiks.com/2017/12/10/transfer-learning-in-keras-using-inception-v3/", "published_at": "2017-12-10T12:31:32+00:00" }, { "id": "01a0cac4-57e0-71c6-8847-02fd61d5b236", "title": "Logarithm of Sigmoid As a Neural Networks Activation Function", "url": "https://sefiks.com/2017/12/09/logarithm-of-sigmoid-as-a-neural-networks-activation-function/", "published_at": "2017-12-09T20:28:20+00:00" }, { "id": "01a0cac4-57e0-71c6-8847-02fd62c0129b", "title": "A Step by Step ID3 Decision Tree Example", "url": "https://sefiks.com/2017/11/20/a-step-by-step-id3-decision-tree-example/", "published_at": "2017-11-20T14:31:51+00:00" }, { "id": "01a0cac4-57e0-71c6-8847-02fd630da702", "title": "How Random Forests Can Keep You From Decision Tree", "url": "https://sefiks.com/2017/11/19/how-random-forests-can-keep-you-from-decision-tree/", "published_at": "2017-11-19T12:35:39+00:00" }, { "id": "01a0cac4-57e0-71c6-8847-02fd63c75408", "title": "Softsign as a Neural Networks Activation Function", "url": "https://sefiks.com/2017/11/10/softsign-as-a-neural-networks-activation-function/", "published_at": "2017-11-10T14:16:11+00:00" }, { "id": "01a0cac4-9315-709b-8e49-8ee33b6ce0d1", "title": "Softmax as a Neural Networks Activation Function", "url": "https://sefiks.com/2017/11/08/softmax-as-a-neural-networks-activation-function/", "published_at": "2017-11-08T20:09:01+00:00" }, { "id": "01a0cac4-9315-709b-8e49-8ee33c223568", "title": "Developers vs Mathematicians", "url": "https://sefiks.com/2017/11/05/developers-vs-mathematicians/", "published_at": "2017-11-05T16:05:50+00:00" }, { "id": "01a0cac4-9315-709b-8e49-8ee33c7f8c40", "title": "Handwritten Digit Recognition Using CNN with Keras", "url": "https://sefiks.com/2017/11/05/handwritten-digit-recognition-using-cnn-with-keras/", "published_at": "2017-11-05T09:19:56+00:00" }, { "id": "01a0cac4-9315-709b-8e49-8ee33d1fb78c", "title": "A Gentle Introduction to Convolutional Neural Networks", "url": "https://sefiks.com/2017/11/03/a-gentle-introduction-to-convolutional-neural-networks/", "published_at": "2017-11-03T12:42:02+00:00" }, { "id": "01a0cac4-9315-709b-8e49-8ee33d2ead10", "title": "New Generation Cryptocurrency", "url": "https://sefiks.com/2017/10/21/new-generation-cryptocurrency/", "published_at": "2017-10-21T13:37:11+00:00" }, { "id": "01a0cac4-9315-709b-8e49-8ee33ddbf0c0", "title": "Evolution of Neural Networks", "url": "https://sefiks.com/2017/10/14/evolution-of-neural-networks/", "published_at": "2017-10-14T09:51:25+00:00" }, { "id": "01a0cac4-9315-709b-8e49-8ee33e6551e4", "title": "Art for AI’s Sake", "url": "https://sefiks.com/2017/10/09/art-for-ais-sake/", "published_at": "2017-10-09T19:54:44+00:00" }, { "id": "01a0cac4-9315-709b-8e49-8ee33efdbe39", "title": "Common Concerns of Machine Learning Professionals", "url": "https://sefiks.com/2017/10/03/common-concerns-of-machine-learning-professionals/", "published_at": "2017-10-03T19:51:54+00:00" }, { "id": "01a0cac4-9315-709b-8e49-8ee33f52d0c4", "title": "Handwritten Digit Classification with TensorFlow", "url": "https://sefiks.com/2017/09/11/handwritten-digit-classification-with-tensorflow/", "published_at": "2017-09-11T20:26:48+00:00" }, { "id": "01a0cac4-9315-709b-8e49-8ee33fb515ae", "title": "ReLU as Neural Networks Activation Function", "url": "https://sefiks.com/2017/08/21/relu-as-neural-networks-activation-function/", "published_at": "2017-08-21T20:15:34+00:00" }, { "id": "01a0cac4-d237-71a3-b1ee-cb72a692ef03", "title": "Softplus as a Neural Networks Activation Function", "url": "https://sefiks.com/2017/08/11/softplus-as-a-neural-networks-activation-function/", "published_at": "2017-08-11T09:58:10+00:00" }, { "id": "01a0cac4-d237-71a3-b1ee-cb72a6d224ad", "title": "Classifying Instances with Weka In Java", "url": "https://sefiks.com/2017/08/09/classifying-instances-with-weka-in-java/", "published_at": "2017-08-09T09:29:36+00:00" }, { "id": "01a0cac4-d237-71a3-b1ee-cb72a7301580", "title": "A Software Engineer’s Guide to Becoming Data Scientist", "url": "https://sefiks.com/2017/08/07/a-software-engineers-guide-to-becoming-data-scientist/", "published_at": "2017-08-07T10:49:35+00:00" }, { "id": "01a0cac4-d237-71a3-b1ee-cb72a80256a0", "title": "Transparency in AI", "url": "https://sefiks.com/2017/08/01/transparency-in-ai/", "published_at": "2017-08-01T14:19:48+00:00" }, { "id": "01a0cac4-d237-71a3-b1ee-cb72a893726c", "title": "Hello, TensorFlow!", "url": "https://sefiks.com/2017/07/11/hello-tensorflow/", "published_at": "2017-07-11T17:40:20+00:00" }, { "id": "01a0cac4-d237-71a3-b1ee-cb72a8a4332c", "title": "Becoming the MacGyver of Machine Learning with Neural Networks", "url": "https://sefiks.com/2017/07/09/becoming-the-macgyver-of-machine-learning-with-neural-networks/", "published_at": "2017-07-09T18:10:54+00:00" }, { "id": "01a0cac4-d237-71a3-b1ee-cb72a8d673a9", "title": "Homer Simpson Guide to Backpropagation", "url": "https://sefiks.com/2017/06/21/homer-simpson-guide-to-backpropagation/", "published_at": "2017-06-21T11:21:04+00:00" }, { "id": "01a0cac4-d237-71a3-b1ee-cb72a94c702b", "title": "How Data Science Once Saved the World", "url": "https://sefiks.com/2017/05/27/how-data-science-once-saved-the-world/", "published_at": "2017-05-27T13:44:23+00:00" }, { "id": "01a0cac4-d237-71a3-b1ee-cb72aa30c568", "title": "Step Function as a Neural Network Activation Function", "url": "https://sefiks.com/2017/05/15/step-function-as-a-neural-network-activation-function/", "published_at": "2017-05-14T21:15:27+00:00" }, { "id": "01a0cac4-d237-71a3-b1ee-cb72aa6f58f6", "title": "Signing Contents Digitally: An Email Implementation", "url": "https://sefiks.com/2017/04/18/signing-contents-digitally-an-email-implementation/", "published_at": "2017-04-18T12:13:44+00:00" }, { "id": "01a0cac5-2b99-7307-9175-4f78440574c8", "title": "Exchanging Encrypted Mails", "url": "https://sefiks.com/2017/04/10/exchanging-encrypted-mails/", "published_at": "2017-04-10T14:27:18+00:00" }, { "id": "01a0cac5-2b99-7307-9175-4f7844947e78", "title": "Protecting Java Codes: Encrypted Class Loader", "url": "https://sefiks.com/2017/04/04/protecting-java-codes-encrypted-class-loader/", "published_at": "2017-04-04T12:16:15+00:00" }, { "id": "01a0cac5-2b99-7307-9175-4f7844cf9b96", "title": "Homer Sometimes Nods: Error Metrics in Machine Learning", "url": "https://sefiks.com/2017/03/31/homer-sometimes-nods-error-metrics-in-machine-learning/", "published_at": "2017-03-31T13:45:07+00:00" }, { "id": "01a0cac5-2b99-7307-9175-4f78459ffc69", "title": "Small is Beautiful: working with short URLs", "url": "https://sefiks.com/2017/03/27/small-is-beautiful/", "published_at": "2017-03-27T17:57:26+00:00" }, { "id": "01a0cac5-2b99-7307-9175-4f78468f1824", "title": "AI: a one-day wonder or an everlasting challenge", "url": "https://sefiks.com/2017/03/24/ai-a-one-day-wonder-or-an-everlasting-challenge/", "published_at": "2017-03-23T21:20:36+00:00" }, { "id": "01a0cac5-2b99-7307-9175-4f784741e361", "title": "Adaptive Learning in Neural Networks", "url": "https://sefiks.com/2017/03/02/adaptive-learning-in-neural-networks/", "published_at": "2017-03-02T10:32:54+00:00" }, { "id": "01a0cac5-2b99-7307-9175-4f78477c7498", "title": "Incorporating Momentum Into Neural Networks Learning", "url": "https://sefiks.com/2017/02/23/incorporating-momentum-into-neural-networks-learning/", "published_at": "2017-02-23T13:12:18+00:00" }, { "id": "01a0cac5-2b99-7307-9175-4f7847e737d4", "title": "Even Superheroes Need to Rest: Working on Trained Neural Networks in Weka", "url": "https://sefiks.com/2017/02/21/working-on-trained-neural-networks-in-weka/", "published_at": "2017-02-21T12:52:51+00:00" }, { "id": "01a0cac5-2b99-7307-9175-4f7848a8954f", "title": "Building Neural Networks with Weka In Java", "url": "https://sefiks.com/2017/02/20/building-neural-networks-with-weka/", "published_at": "2017-02-20T13:42:15+00:00" }, { "id": "01a0cac5-2b99-7307-9175-4f784941861b", "title": "Hyperbolic Tangent as Neural Network Activation Function", "url": "https://sefiks.com/2017/01/29/hyperbolic-tangent-as-neural-network-activation-function/", "published_at": "2017-01-28T21:06:23+00:00" }, { "id": "01a0cac5-79f7-7171-ad18-efd01958c853", "title": "Backpropagation Implementation: Neural Networks Learning From Theory To Action", "url": "https://sefiks.com/2017/01/28/backpropagation-implementation-from-theory-to-action/", "published_at": "2017-01-28T09:38:43+00:00" }, { "id": "01a0cac5-79f7-7171-ad18-efd01a4ddb22", "title": "The Math Behind Neural Networks Learning with Backpropagation", "url": "https://sefiks.com/2017/01/21/the-math-behind-backpropagation/", "published_at": "2017-01-21T17:00:40+00:00" }, { "id": "01a0cac5-79f7-7171-ad18-efd01a634002", "title": "Sigmoid Function as Neural Network Activation Function", "url": "https://sefiks.com/2017/01/21/sigmoid-function-as-an-activation-function/", "published_at": "2017-01-21T10:30:12+00:00" }, { "id": "01a0cac5-79f7-7171-ad18-efd01ab8195d", "title": "Introduction to Neural Networks: A Mechanism Taking Lessons From The Past", "url": "https://sefiks.com/2017/01/15/introduction-to-neural-networks-a-mechanism-taking-lessons-from-the-past/", "published_at": "2017-01-15T10:41:55+00:00" }, { "id": "01a0cac5-79f7-7171-ad18-efd01b7bb63a", "title": "Exponential Smoothing: A Forecasting Approach Smoke Pleasure Triggered", "url": "https://sefiks.com/2016/11/10/exponential-smoothing-a-forecasting-approach-smoke-pleasure-triggered/", "published_at": "2016-11-10T07:58:44+00:00" }, { "id": "01a0cac5-79f7-7171-ad18-efd01bc32e0f", "title": "Image is everything", "url": "https://sefiks.com/2016/10/01/image-is-everything/", "published_at": "2016-10-01T14:44:13+00:00" }, { "id": "01a0cac5-79f7-7171-ad18-efd01cc24da3", "title": "Netflix law", "url": "https://sefiks.com/2016/09/04/netflix-law/", "published_at": "2016-09-04T09:49:13+00:00" }, { "id": "01a0cac5-79f7-7171-ad18-efd01da9c55b", "title": "Education Technologies", "url": "https://sefiks.com/2016/08/30/education-technologies/", "published_at": "2016-08-30T09:55:24+00:00" }, { "id": "01a0cac5-79f7-7171-ad18-efd01e876ed3", "title": "Data Gives Us Superpowers", "url": "https://sefiks.com/2016/08/26/data-gives-us-superpowers/", "published_at": "2016-08-26T19:02:43+00:00" }, { "id": "01a0cac5-79f7-7171-ad18-efd01f2a598c", "title": "How Printers Change Our Lifes: The Past and The Future", "url": "https://sefiks.com/2016/04/28/how-printers-change-our-lifes-the-past-and-the-future/", "published_at": "2016-04-28T18:44:02+00:00" }, { "id": "01a0cac5-b57e-71be-8d2c-958fe32957b3", "title": "After The Venice Trip", "url": "https://sefiks.com/2016/04/24/after-the-venice-trip/", "published_at": "2016-04-24T17:33:28+00:00" }, { "id": "01a0cac5-b57e-71be-8d2c-958fe335538e", "title": "Key Exchange: From Carrying Handcuffed Briefcases To Modern Cryptosystems", "url": "https://sefiks.com/2016/04/11/key-exchange-from-carrying-handcuffed-briefcases-to-modern-cryptosystems/", "published_at": "2016-04-11T19:10:28+00:00" }, { "id": "01a0cac5-b57e-71be-8d2c-958fe3f7b7db", "title": "From Korean War To Data Science and Analytics", "url": "https://sefiks.com/2016/04/04/from-korean-war-to-data-science-and-analytics/", "published_at": "2016-04-04T21:02:45+00:00" }, { "id": "01a0cac5-b57e-71be-8d2c-958fe4afa8d4", "title": "Big Data and Analytics Summit 2016 Impressions", "url": "https://sefiks.com/2016/03/28/big-data-and-analytics-summit-2016-impressions/", "published_at": "2016-03-28T20:17:19+00:00" }, { "id": "01a0cac5-b57e-71be-8d2c-958fe53c8781", "title": "Double and Add Method", "url": "https://sefiks.com/2016/03/27/double-and-add-method/", "published_at": "2016-03-27T16:47:31+00:00" }, { "id": "01a0cac5-b57e-71be-8d2c-958fe638948d", "title": "The Math Behind Elliptic Curves in Koblitz Form", "url": "https://sefiks.com/2016/03/13/the-math-behind-elliptic-curves-over-binary-field/", "published_at": "2016-03-13T21:37:07+00:00" }, { "id": "01a0cac5-b57e-71be-8d2c-958fe669786b", "title": "The Math Behind Elliptic Curves in Weierstrass Form", "url": "https://sefiks.com/2016/03/13/the-math-behind-elliptic-curve-cryptography/", "published_at": "2016-03-13T17:47:06+00:00" } ] posts Claim your blog

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2018

Moving Numbers To Upside Down: Extended Euclidean Algorithm original ↗

7 Feb 2018

Real Time Facial Expression Recognition on Streaming Data original ↗

10 Jan 2018

Sinc as a Neural Networks Activation Function original ↗

7 Jan 2018

ELU as a Neural Networks Activation Function original ↗

2 Jan 2018

Facial Expression Recognition with Keras original ↗

1 Jan 2018

2017

A Gentle Introduction to Cross-Entropy Loss Function original ↗

17 Dec 2017

Transfer Learning in Keras Using Inception V3 original ↗

10 Dec 2017

Logarithm of Sigmoid As a Neural Networks Activation Function original ↗

9 Dec 2017

A Step by Step ID3 Decision Tree Example original ↗

20 Nov 2017

How Random Forests Can Keep You From Decision Tree original ↗

19 Nov 2017

Softsign as a Neural Networks Activation Function original ↗

10 Nov 2017

Softmax as a Neural Networks Activation Function original ↗

8 Nov 2017

Developers vs Mathematicians original ↗

5 Nov 2017

Handwritten Digit Recognition Using CNN with Keras original ↗

5 Nov 2017

A Gentle Introduction to Convolutional Neural Networks original ↗

3 Nov 2017

New Generation Cryptocurrency original ↗

21 Oct 2017

Evolution of Neural Networks original ↗

14 Oct 2017

Art for AI’s Sake original ↗

9 Oct 2017

Common Concerns of Machine Learning Professionals original ↗

3 Oct 2017

Handwritten Digit Classification with TensorFlow original ↗

11 Sept 2017

ReLU as Neural Networks Activation Function original ↗

21 Aug 2017

Softplus as a Neural Networks Activation Function original ↗

11 Aug 2017

Classifying Instances with Weka In Java original ↗

9 Aug 2017

A Software Engineer’s Guide to Becoming Data Scientist original ↗

7 Aug 2017

Transparency in AI original ↗

1 Aug 2017

Hello, TensorFlow!original ↗

11 Jul 2017

Becoming the MacGyver of Machine Learning with Neural Networks original ↗

9 Jul 2017

Homer Simpson Guide to Backpropagation original ↗

21 Jun 2017

How Data Science Once Saved the World original ↗

27 May 2017

Step Function as a Neural Network Activation Function original ↗

14 May 2017

Signing Contents Digitally: An Email Implementation original ↗

18 Apr 2017

Exchanging Encrypted Mails original ↗

10 Apr 2017

Protecting Java Codes: Encrypted Class Loader original ↗

4 Apr 2017

Homer Sometimes Nods: Error Metrics in Machine Learning original ↗

31 Mar 2017

Small is Beautiful: working with short URLs original ↗

27 Mar 2017

AI: a one-day wonder or an everlasting challenge original ↗

23 Mar 2017

Adaptive Learning in Neural Networks original ↗

2 Mar 2017

Incorporating Momentum Into Neural Networks Learning original ↗

23 Feb 2017

Even Superheroes Need to Rest: Working on Trained Neural Networks in Weka original ↗

21 Feb 2017

Building Neural Networks with Weka In Java original ↗

20 Feb 2017

Hyperbolic Tangent as Neural Network Activation Function original ↗

28 Jan 2017

Backpropagation Implementation: Neural Networks Learning From Theory To Action original ↗

28 Jan 2017

The Math Behind Neural Networks Learning with Backpropagation original ↗

21 Jan 2017

Sigmoid Function as Neural Network Activation Function original ↗

21 Jan 2017

Introduction to Neural Networks: A Mechanism Taking Lessons From The Past original ↗

15 Jan 2017

2016

Exponential Smoothing: A Forecasting Approach Smoke Pleasure Triggered original ↗

10 Nov 2016

Image is everything original ↗

1 Oct 2016

Netflix law original ↗

4 Sept 2016

Education Technologies original ↗

30 Aug 2016

Data Gives Us Superpowers original ↗

26 Aug 2016

How Printers Change Our Lifes: The Past and The Future original ↗

28 Apr 2016

After The Venice Trip original ↗

24 Apr 2016

Key Exchange: From Carrying Handcuffed Briefcases To Modern Cryptosystems original ↗

11 Apr 2016

From Korean War To Data Science and Analytics original ↗

4 Apr 2016

Big Data and Analytics Summit 2016 Impressions original ↗

28 Mar 2016

Double and Add Method original ↗

27 Mar 2016

The Math Behind Elliptic Curves in Koblitz Form original ↗

13 Mar 2016

The Math Behind Elliptic Curves in Weierstrass Form original ↗

13 Mar 2016