<prompt> Ha u fuoa mosebetsi, hlahisa sebaka sa ho kenya se nang le litaba tse ngata tse ka tlase ho mantsoe a 100.Theha algorithm ea ho ithuta ka mochini ho hlophisa litšoantšo ka lihlopha tse fapaneng.  <response>: Instruction in English: Given a task, come up with an input field with substantial content that is less than 100 words. . Response in English: Input Field: Title: Machine Learning Image ClassificationDescription: Construct an algorithm using TensorFlow and Keras to classify images into categories. The algorithm will use Convolutional Neural Networks CNNs and will be trained on a dataset of images, labeled into distinct classes. The output will display the image with its predicted class. Implement data augmentation to increase accuracy. . Response in Sesotho: Sebaka sa ho Kena: Sehlooho: Tlhaloso ea Setsoantso sa ho Ithuta ka Mochini: Theha algorithm u sebelisa TensorFlow le Keras ho arola litšoantšo ka mekhahlelo. Algorithm e tla sebelisa Convolutional Neural Networks CNNs me e tla koetlisoa ka dataset ea litšoantšo, tse ngotsoeng ka lihlopha tse ikhethileng. Sephetho se tla bontsa setšoantšo ka sehlopha sa sona se boletsoeng esale pele. Kenya tsebetsong katoloso ea data ho eketsa ho nepahala. 