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Artificial Intelligence
Unit 1
Machine Learning
Introduction to Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Model Evaluation and Validation
Unit 2
Deep Learning
Introduction to Deep Learning
Deep Neural Networks
Training Deep Learning Models
Unit 3
Learning to Rank Models (LLM)
Introduction to Learning to Rank Models
Supervised Learning for LLM
Evaluation Metrics for LLM
Learning to Rank Algorithms
Optimization Techniques for LLM
Unit 2 • Chapter 1
Introduction to Deep Learning
Summary
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Concept Check
What is a common activation function used in deep learning networks?
Tanh
Sigmoid
Softmax
ReLU
What is the purpose of using backpropagation in deep learning?
Optimize the weights
Initialize the network
Regularize the model
Calculate the accuracy
Which deep learning architecture is commonly used for image recognition tasks?
RNN
GRU
CNN
LSTM
What is the main goal of training a deep learning model?
Learn to make accurate predictions
Reduce the number of layers
Increase model complexity
Visualize the data
Check Answer
Next
Deep Neural Networks