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WEEK 15-16: INTRODUCTION TO AI, DEEP LEARNING AND MACHINE LEARNING Flashcards | StudBud
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WEEK 15-16: INTRODUCTION TO AI, DEEP LEARNING AND MACHINE LEARNING
WEEK 15-16: INTRODUCTION TO AI, DEEP LEARNING AND MACHINE LEARNING
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1
Small sets of input data used at a time usually processed independently.
Minibatches
Matrix
Tensors
Vectors
2
Deep Learning Frameworks are actually tools for defining static or dynamic general-purpose computational graphs.
False
True
3
Main types of machine learning except:
Supervised learning
Reinforcement learning
Unsupervised learning
Deep Learning
4
AI can perform the following except:
Recognize image
Make decisions
Solve problems
Perform household chores
5
This is?
Deep Learning
Machine Learning
6
Generalization of matrices to n dimensions
Minibatches
Tensors
Vector
Matrix
7
This is one way to achieve that dream: Teaching machines through data.
Deep Learning
Machine Learning
8
This is the ability of a computer to perform tasks commonly associated with intelligent beings.
Mixed Reality
Artificial Intelligence
Virtual Reality
Machine Learning
9
This is powerful tool within machine learning: Using complex, layered networks to learn from vast amounts of data.
Machine Learning
Deep Learning
10
This is?
Machine Learning
Deep Learning
11
AI is the dream.
Making AI close to humans.
Making AI successful.
Making machines humanoid.
Making machines intelligent.
12
AI’s goal is to create computers or machines that can perform tasks that typically require human intelligence.
True
False
13
Is a high-level neural networks API.
Keras
Matrices
Sensor
Vector
14
This is the study of algorithms that learn from examples and experience instead of relying on hard-coded rules.
Machine Progress
Machine Dependence
Machine Programs
Machine Learning
15
This is a specific type of machine learning that uses artificial neural networks with many layers.
Layer Learning
Machine Learning
Deep Learning
AI Learning
16
Machine learning has ONLY four main types
False
True