Week 1 Quiz >> Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
1. The diagram for traditional programming had Rules and Data In, but what came out?
- Machine Learning
- Answers
- Binary
- Bugs
2. The diagram for Machine Learning had Answers and Data In, but what came out?
- Rules
- Binary
- Models
- Bugs
3. When I tell a computer what the data represents (i.e. this data is for walking, this data is for running), what is that process called?
- Programming the Data
- Categorizing the Data
- Labelling the Data
- Learning the Data
4. What is a Dense?
- A layer of disconnected neurons
- Mass over Volume
- A layer of connected neurons
- A single neuron
5. What does a Loss function do?
- Decides to stop training a neural network
- Measures how good the current ‘guess’ is
- Generates a guess
- Figures out if you win or lose
6. What does the optimizer do?
- Generates a new and improved guess
- Figures out how to efficiently compile your code
- Decides to stop training a neural network
- Measures how good the current guess is
7. What is Convergence?
- The process of getting very close to the correct answer
- The bad guys in the next ‘Star Wars’ movie
- A programming API for AI
- A dramatic increase in loss
8. What does model.fit do?
- It optimizes an existing model
- It trains the neural network to fit one set of values to another
- It makes a model fit available memory
- It determines if your activity is good for your body
