Tensor Operations in TensorFlow QUIZ (MCQ QUESTIONS AND ANSWERS)

It computes the natural logarithm of a tensor.

It calculates the exponential function of a tensor.

It computes the square of each element in a tensor.

It computes the square root of a tensor.

It rounds each element of a tensor to the nearest integer.

It calculates the exponential function of a tensor.

It performs element-wise addition of tensors.

It computes the square of each element in a tensor.

tf.tanh()

tf.math.tanh()

tf.hyperbolic_tan()

tf.math.hyperbolic_tan()

It computes the error function of a tensor.

It calculates the exponential function of a tensor.

It performs element-wise addition of tensors.

It computes the square of each element in a tensor.

tf.atan()

tf.math.atan()

tf.inverse_tan()

tf.math.inverse_tan()

It computes the natural logarithm of a tensor.

It clips tensor values to a specified range.

It performs element-wise multiplication of tensors.

It computes the square root of a tensor.

tf.math.sign()

tf.math.abs()

tf.sign()

tf.abs()

It computes the natural logarithm of a tensor plus one.

It calculates the exponential function of a tensor.

It performs element-wise addition of tensors.

It computes the square of each element in a tensor.

tf.abs()

tf.math.abs()

tf.absolute()

tf.math.absolute()

It computes the cumulative product of elements along a specified axis of a tensor.

It calculates the exponential function of a tensor.

It performs element-wise multiplication of tensors.

It computes the natural logarithm of a tensor.

tf.cumsum()

tf.math.cumulative_sum()

tf.reduce_sum()

tf.math.reduce_cumsum()

It performs element-wise division with a specified divisor, handling NaN values.

It calculates the exponential function of a tensor.

It computes the square of each element in a tensor.

It computes the natural logarithm of a tensor.

tf.divide()

tf.math.divide()

tf.math.divide_no_nan()

tf.math.truediv()

It computes the square root of a tensor.

It calculates the exponential function of a tensor.

It computes the minimum value element-wise from two tensors.

It computes the square of each element in a tensor.

tf.argmin()

tf.reduce_min()

tf.math.minimum()

tf.math.argmin()

tf.argmin()

tf.reduce_min()

tf.math.minimum()

tf.math.argmin()

To compute the square root of a tensor.

To perform element-wise multiplication of tensors.

To calculate the square of each element in a tensor.

To compute the exponential function of a tensor.

It allows tensors with different shapes to be operated together.

It converts tensors to numpy arrays.

It enables parallel processing of tensors.

It performs automatic type conversions between tensors.

To perform element-wise division of tensors.

To calculate the dot product of two tensors.

To transpose a tensor.

To calculate the exponential function of a tensor.

It reshapes a tensor.

It computes the dot product of two tensors.

It transposes the dimensions of a tensor.

It calculates the gradient of a tensor.

tf.argmax()

tf.reduce_max()

tf.math.maximum()

tf.math.argmax()

tf.add()

tf.multiply()

tf.subtract()

tf.divide()

It computes the natural logarithm of a tensor.

It calculates the exponential function of a tensor.

It performs element-wise division of tensors.

It computes the logarithm base 10 of a tensor.

tf.reduce_sum()

tf.reduce_mean()

tf.math.log()

tf.math.exp()

It calculates the mean of a tensor.

It computes the standard deviation of a tensor.

It performs element-wise multiplication of tensors.

It computes the sum of elements across specified dimensions of a tensor.

tf.add()

tf.multiply()

tf.linalg.matmul()

tf.reduce_sum()

To perform element-wise multiplication of tensors.

To calculate the dot product of two tensors.

To transpose a tensor.

To divide one tensor by another.

tf.add()

tf.multiply()

tf.subtract()

tf.divide()

tf.argmax()

tf.reduce_max()

tf.math.maximum()

tf.math.argmax()

It computes the natural logarithm of a tensor.

It calculates the exponential function of a tensor.

It performs element-wise addition of tensors.

It computes the square root of a tensor.