TensorFlow Quiz
- The independent variable is
_________________
and is used to predict the changes in the dependent variable.
- Not used in the model
- Independent
- Predictive
- Explanatory
- While fitting linear regression model,
___________________
is minimized during training.
- Accuracy
- Entropy
- Gradient
- Loss
- The bias is not updated throughout the training process.
- True
- False
- Gradient Descent is an example of
____________________
.
- Optimizer
- Machine Learning Model
- Deep Learning Model
- Tensor Flow Model
- Which of the function always maps the values between 0 and 1.
- logit
- RELU
- tanh
- sigmoid
- TensorFlow is based on
_________________
.
- Dataflow Graph
- Social Graph
- Information Flow Graph
- Insight Flow Graph
- What is a Tensor?
- an activation function
- a neural network
- an n- dimensional array
- a metric
- In TensorFlow computation graph, the nodes represent mathematical operations.
- False
- True
- Which of the following you use to update parameters when training the model in TensorFlow?
- All the options
- Variables
- Constants
- Placeholders
- TensorFlow performs necessary uplifting to perform gradient descent optimization.
- False
- True
- Dimension determines the number of coordinates required to locate a specific point.
- True
- False
- A
_________________
has only magnitude but no direction.
- Matrix
- Vector
- Array
- Scalar
- What does an edge represent in a data flow graph?
- Data Flow
- Insight Flow
- Tensor
- Information Flow
- Which one of the following you make use of when you want to pass the data from a source during session runtime?
- Variable
- placeholder
- What does a node represent in a data flow graph?
- Mathematical Operation
- Data Store
- None of the options
- Entity
- What methodology should you follow to close a TensorFlow session automatically in your code?
- Use a Good CPU
- Use a good GPU
- Use a with block in the code
- It should be closed manually
- Which one of the following would you use to initialize a constant in TensorFlow?
- tf.init_const()
- tf.const()
- tf.variable()
- tf.constant()
- Scalars are tensors of rank 0.
- False
- True
- Linear regression requires an activation function when calculating the output.
- True
- False
- Which of the following is minimized when you run tf.train.GradientDescentOptimizer().minimize()?
- cost
- weights and bias
- All the options
- learning rate