{"id":394,"date":"2020-12-01T15:57:21","date_gmt":"2020-12-01T15:57:21","guid":{"rendered":"http:\/\/sriaurobindointernationalschool.org\/?page_id=394"},"modified":"2025-11-17T03:27:26","modified_gmt":"2025-11-17T03:27:26","slug":"admission","status":"publish","type":"page","link":"https:\/\/sriaurobindointernationalschool.org\/?page_id=394","title":{"rendered":"Admission"},"content":{"rendered":"\n<p class=\"has-text-align-center has-text-color has-background has-large-font-size\" style=\"color:#5c159d;background-color:#fbde8f\"><strong>NOTE : Henceforth, Admission into school is processed according to the rules framed by NEP 2020.<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center has-black-color has-text-color has-background has-link-color has-large-font-size wp-elements-584ed85f3f48d55f791abda560cc1791\" id=\"class-Perceptron:-----def-__init__(self,x,y,weights=0.5,-learning_rate=0.00001,b=0.01):----------constructor-to-initialize-----------while-perfromning-linear-regression-the-value-of-weight-moves-faster-than-the-value-of-bias----------ie.-it-takes-more-epochs\/iterations-to-for-bias-to-reach-the-expected-value-than-for-weight-to-reach-its-expected-value----------in-the-data-we-have-taken-the-input-values-have-a-large-range-as-they-represent-colour-value-of-picture,-the-range-being-0-256----------the-larger-the-range-of-our-data-the-smaller-our-learning-rate-has-to-be-i.e-for-inputs-in-range-of-10^0,-learning-rate-is-0.1,-for-10^2,-0.00001---------self.img_x=x---------self.img_y=y---------self.weights-=-weights----Random-initialization---------self.learning_rate-=-learning_rate---Learning-rate---------self.b=b-----def-forward_propogation(self):----------this-function-is-performing-forward-propogation----------it-return-an-array-of-predicted-values---------y_pred=(self.weights*self.img_x)+self.b---------return-y_pred-----def-compute_mse(self,y_pred):----------this-functin-is-computing-the-mean-square-error---------m=self.img_y.shape[0]----------this-line-obtains-the-length-of-our-array---------cost=(1\/m)*np.sum((self.img_y-y_pred)**2)----------the-returned-is-a-single-value-as-we-sum-up-all-the-individual-losses---------return-cost-----def-compute_gradients(self,y_pred):----------here-we-compute-gradients-for-the-weight-and-bias---------m=self.img_y.shape[0]---------dw=(-2\/m)*np.sum(self.img_x*(self.img_y-y_pred))---------db=(-2\/m)*np.sum(self.img_y-y_pred)---------print(db)---------return-dw,db-----def-train(self,num_epochs):---------cost=0----------loop-for-training---------for-epoch-in-range(num_epochs):-------------pred=self.forward_propogation()-------------cost=self.compute_mse(pred)-------------dw,db=self.compute_gradients(pred)-------------print(f&quot;loss:-{cost}&quot;)-------------print(f&quot;Weight:-{self.weights:.1f}&quot;)-------------print(f&quot;Bias:-{self.b:.1f}&quot;)-------------self.weights=self.weights-(self.learning_rate*dw)-------------self.b=self.b-(self.learning_rate*db)-p1=Perceptron(img_x,img_y);-p1.train(100)\" style=\"background-color:#fcc6a0\"><strong>NOTICE<\/strong> : <strong>Admission for Nursery (2026 \u2013 2027)<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center has-black-color has-text-color has-background has-link-color has-large-font-size wp-elements-9ea9cf888168d5bda3431feee2908ed2\" id=\"class-Perceptron:-----def-__init__(self,x,y,weights=0.5,-learning_rate=0.00001,b=0.01):----------constructor-to-initialize-----------while-perfromning-linear-regression-the-value-of-weight-moves-faster-than-the-value-of-bias----------ie.-it-takes-more-epochs\/iterations-to-for-bias-to-reach-the-expected-value-than-for-weight-to-reach-its-expected-value----------in-the-data-we-have-taken-the-input-values-have-a-large-range-as-they-represent-colour-value-of-picture,-the-range-being-0-256----------the-larger-the-range-of-our-data-the-smaller-our-learning-rate-has-to-be-i.e-for-inputs-in-range-of-10^0,-learning-rate-is-0.1,-for-10^2,-0.00001---------self.img_x=x---------self.img_y=y---------self.weights-=-weights----Random-initialization---------self.learning_rate-=-learning_rate---Learning-rate---------self.b=b-----def-forward_propogation(self):----------this-function-is-performing-forward-propogation----------it-return-an-array-of-predicted-values---------y_pred=(self.weights*self.img_x)+self.b---------return-y_pred-----def-compute_mse(self,y_pred):----------this-functin-is-computing-the-mean-square-error---------m=self.img_y.shape[0]----------this-line-obtains-the-length-of-our-array---------cost=(1\/m)*np.sum((self.img_y-y_pred)**2)----------the-returned-is-a-single-value-as-we-sum-up-all-the-individual-losses---------return-cost-----def-compute_gradients(self,y_pred):----------here-we-compute-gradients-for-the-weight-and-bias---------m=self.img_y.shape[0]---------dw=(-2\/m)*np.sum(self.img_x*(self.img_y-y_pred))---------db=(-2\/m)*np.sum(self.img_y-y_pred)---------print(db)---------return-dw,db-----def-train(self,num_epochs):---------cost=0----------loop-for-training---------for-epoch-in-range(num_epochs):-------------pred=self.forward_propogation()-------------cost=self.compute_mse(pred)-------------dw,db=self.compute_gradients(pred)-------------print(f&quot;loss:-{cost}&quot;)-------------print(f&quot;Weight:-{self.weights:.1f}&quot;)-------------print(f&quot;Bias:-{self.b:.1f}&quot;)-------------self.weights=self.weights-(self.learning_rate*dw)-------------self.b=self.b-(self.learning_rate*db)-p1=Perceptron(img_x,img_y);-p1.train(100)\" style=\"background-color:#fcc6a0\"><strong> Inquiry Form open from <strong>(Saturday)<\/strong><\/strong> <strong>01-11-2025 to <strong>(Sunday)<\/strong><\/strong> <strong>16-11-2025<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center has-black-color has-text-color has-background has-link-color has-large-font-size wp-elements-36e4ee656c156f2263901172aed3d87a\" id=\"class-Perceptron:-----def-__init__(self,x,y,weights=0.5,-learning_rate=0.00001,b=0.01):----------constructor-to-initialize-----------while-perfromning-linear-regression-the-value-of-weight-moves-faster-than-the-value-of-bias----------ie.-it-takes-more-epochs\/iterations-to-for-bias-to-reach-the-expected-value-than-for-weight-to-reach-its-expected-value----------in-the-data-we-have-taken-the-input-values-have-a-large-range-as-they-represent-colour-value-of-picture,-the-range-being-0-256----------the-larger-the-range-of-our-data-the-smaller-our-learning-rate-has-to-be-i.e-for-inputs-in-range-of-10^0,-learning-rate-is-0.1,-for-10^2,-0.00001---------self.img_x=x---------self.img_y=y---------self.weights-=-weights----Random-initialization---------self.learning_rate-=-learning_rate---Learning-rate---------self.b=b-----def-forward_propogation(self):----------this-function-is-performing-forward-propogation----------it-return-an-array-of-predicted-values---------y_pred=(self.weights*self.img_x)+self.b---------return-y_pred-----def-compute_mse(self,y_pred):----------this-functin-is-computing-the-mean-square-error---------m=self.img_y.shape[0]----------this-line-obtains-the-length-of-our-array---------cost=(1\/m)*np.sum((self.img_y-y_pred)**2)----------the-returned-is-a-single-value-as-we-sum-up-all-the-individual-losses---------return-cost-----def-compute_gradients(self,y_pred):----------here-we-compute-gradients-for-the-weight-and-bias---------m=self.img_y.shape[0]---------dw=(-2\/m)*np.sum(self.img_x*(self.img_y-y_pred))---------db=(-2\/m)*np.sum(self.img_y-y_pred)---------print(db)---------return-dw,db-----def-train(self,num_epochs):---------cost=0----------loop-for-training---------for-epoch-in-range(num_epochs):-------------pred=self.forward_propogation()-------------cost=self.compute_mse(pred)-------------dw,db=self.compute_gradients(pred)-------------print(f&quot;loss:-{cost}&quot;)-------------print(f&quot;Weight:-{self.weights:.1f}&quot;)-------------print(f&quot;Bias:-{self.b:.1f}&quot;)-------------self.weights=self.weights-(self.learning_rate*dw)-------------self.b=self.b-(self.learning_rate*db)-p1=Perceptron(img_x,img_y);-p1.train(100)\" style=\"background-color:#fcc6a0\"><em><strong>Note : Date of Birth for Nursery Admission should be between 01-06-2022 to 31-05-2023<\/strong><\/em><\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-black-color has-pale-cyan-blue-background-color has-text-color has-background has-link-color wp-element-button\">Admission Closed<\/a><\/div>\n<\/div>\n\n\n\n<p class=\"has-text-align-center has-black-color has-vivid-cyan-blue-background-color has-text-color has-background\">ISC (Class XI) Admission procedure will start during the first week of March<\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<p class=\"has-text-align-center has-black-color has-pale-cyan-blue-background-color has-text-color has-background has-medium-font-size\"><strong>&nbsp;(NO ADMISSIONS FOR CLASSES LKG TO X)<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<p class=\"has-text-align-center font-size=&quot;36px&quot; has-luminous-vivid-amber-background-color has-text-color has-background has-large-font-size\" style=\"color:#840909\">Jangaon Campus (90km from Uppal) CBSE &#8211; Residential School &#8211; Admission open for Grade IV to IX  Contact : Chandra Bhaiya 88866 68111<\/p>\n","protected":false},"excerpt":{"rendered":"<p>NOTE : Henceforth, Admission into school is processed according to the rules framed by NEP 2020. NOTICE : Admission for Nursery (2026 \u2013 2027) Inquiry Form open from (Saturday) 01-11-2025 to (Sunday) 16-11-2025 Note : Date of Birth for Nursery Admission should be between 01-06-2022 to 31-05-2023 ISC (Class XI) Admission procedure will start during&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-394","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sriaurobindointernationalschool.org\/index.php?rest_route=\/wp\/v2\/pages\/394","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sriaurobindointernationalschool.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sriaurobindointernationalschool.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sriaurobindointernationalschool.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sriaurobindointernationalschool.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=394"}],"version-history":[{"count":74,"href":"https:\/\/sriaurobindointernationalschool.org\/index.php?rest_route=\/wp\/v2\/pages\/394\/revisions"}],"predecessor-version":[{"id":1799,"href":"https:\/\/sriaurobindointernationalschool.org\/index.php?rest_route=\/wp\/v2\/pages\/394\/revisions\/1799"}],"wp:attachment":[{"href":"https:\/\/sriaurobindointernationalschool.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}