{"description":"Test your understanding of tensors, their ranks, shapes, and roles in representing multidimensional data in machine learning.","questions":[{"answer":"A multidimensional array used to store data","number":1,"options":["A programming language","A data preprocessing technique","A multidimensional array used to store data","A machine learning model"],"question":"What is a tensor in the context of machine learning?"},{"answer":"All of the above","number":2,"options":["Scalars","Vectors","Matrices","All of the above"],"question":"Which of the following can be considered a tensor?"},{"answer":"The number of dimensions or axes","number":3,"options":["The number of data points","The number of dimensions or axes","The average value of elements","The highest value in the tensor"],"question":"What does the 'rank' of a tensor refer to?"},{"answer":"[2, 4]","number":4,"options":["[2, 4]","[4, 2]","[2, 2, 4]","[2, 4, 2]"],"question":"What is the shape of a 2D tensor with 2 rows and 4 columns?"},{"answer":"3 matrices of size 2x4","number":5,"options":["3 scalars","3 vectors each of size 2","3 matrices of size 2x4","3 vectors of 4 scalars"],"question":"A 3D tensor with shape [3, 2, 4] consists of:"},{"answer":"4","number":6,"options":["1","2","3","4"],"question":"How many indices are needed to locate an element in a 4D tensor?"},{"answer":"3","number":7,"options":["1","2","3","4"],"question":"Which tensor rank would best represent an RGB image with width, height, and color channels?"},{"answer":"It has 2 layers of 4x2 matrices","number":8,"options":["It has 2 rows, 4 columns, and 2 layers","It has 2 layers of 4x2 matrices","It has 2 scalars in each axis","It represents a 2D tensor"],"question":"What does the shape [2, 4, 2] tell us about the tensor?"},{"answer":"They generalize scalars, vectors, and matrices","number":9,"options":["They can only hold integer data","They require at least 3 dimensions","They generalize scalars, vectors, and matrices","They are used only in image processing"],"question":"Which of the following is TRUE about tensors?"},{"answer":"They efficiently represent high-dimensional data","number":10,"options":["They reduce model size","They simplify data types","They efficiently represent high-dimensional data","They eliminate the need for matrices"],"question":"What is one major advantage of tensors in machine learning?"}],"title":"Tensors"}
