<prompt> Hlalosa mohopolo oa lera la ho kopanya ho Convolutional Neural Network.nan  <response>: Instruction in English: Explain the concept of a pooling layer in a Convolutional Neural Network. . Response in English: A pooling layer in a Convolutional Neural Network CNN is a layer that performs down-sampling operations, reducing the dimensionality of the feature maps generated by the convolutional layers while retaining their most important information. This process helps to decrease computational load, reduce the number of trainable parameters, and control overfitting.The most common type of pooling operation is called max-pooling, in which a pooling filter of a fixed size, usually 2x2, is moved over the feature map with a defined stride. For each position of the filter, the maximum value within the region covered by the filter is selected and used to form a new, reduced feature map. Other pooling operations include average pooling, in which the average of the values within the region covered by the filter is taken. After the pooling operation, the resulting output is reduced in size, but still maintains the most prominent features of the original feature map. The pooling layer helps the CNN to learn spatial hierarchies by grouping together similar features, making the model more robust to small variations in the input image such as scaling and rotation. . Response in Sesotho: Karolo e kopanyang ho Convolutional Neural Network CNN ke karolo e sebetsang ka lisampole tse tlase, e fokotsang boholo ba mapa ea likarolo tse hlahisoang ke li-convolutional layers ha e ntse e boloka lintlha tsa eona tsa bohlokoahali. Tsebetso ena e thusa ho fokotsa boima ba likhomphutha, ho fokotsa palo ea li-parameter tse ka koetlisoang, le ho laola ho feta tekano. Mofuta o atileng haholo oa tsebetso ea ho kopanya o bitsoa max-pooling, moo sefahla sa kopane sa boholo bo tsitsitseng, hangata 2x2, se suthisoang holima mapa oa likarolo ka mohato o hlalositsoeng. Bakeng sa boemo bo bong le bo bong ba sefe, ho khethoa boleng ba boleng bo holimo ka hara sebaka se koahetsoeng ke sefe me se sebelisetsoa ho theha mapa o mocha, o fokotsehileng. Mesebetsi e meng ea ho kopanya e kenyelletsa karolelano ea ho kopanya, moo karolelano ea litekanyetso ka hare ho sebaka se koahetsoeng ke sefe e nkiloeng. Ka mora tsebetso ea ho kopanya, sephetho se hlahisoang se fokotsehile ka boholo, empa se ntse se boloka likarolo tse hlahelletseng tsa mapa oa mantlha. Karolo ea ho kopanya e thusa CNN ho ithuta maemo a sebaka ka ho kopanya likarolo tse tšoanang, ho etsa hore mohlala o be matla haholoanyane ho isa ho liphapang tse nyane setšoantšong se kentsoeng joalo ka ho lekanya le ho potoloha. 