AI Knowledge Test [Hard]
Challenge your advanced AI knowledge with intricate questions on neural networks, optimization algorithms, and NLP models. Prove your prowess now.
Quiz Transcript
AI Knowledge Test [Hard]
Challenge your advanced AI knowledge with intricate questions on neural networks, optimization algorithms, and NLP models. Prove your prowess now.
In training deep neural networks, which optimization algorithm maintains adaptive learning rates through estimates of both first and second moments of the gradients?
Adam
Nesterov Accelerated Gradient
Stochastic Gradient Descent with Momentum
1 / 7
Which activation function is widely recognized for mitigating vanishing gradients, particularly in deep network architectures?
Sigmoid
ReLU
Tanh
2 / 7
Which ensemble method constructs multiple decision trees and aggregates their outputs to improve prediction accuracy and control overfitting?
Logistic Regression
Random Forest
K-Means Clustering
3 / 7
Which linear algorithm is used for dimensionality reduction by projecting data onto directions of maximum variance?
t-Distributed Stochastic Neighbor Embedding
Independent Component Analysis
Principal Component Analysis
4 / 7
Within neural network training, what is the primary purpose of the backpropagation algorithm?
To randomly initialize weights for each neural layer
To compute gradients of the loss function with respect to network weights
To adjust the learning rate during each training iteration
5 / 7
Which subfield of machine learning focuses on training agents to make decisions by maximizing cumulative rewards in dynamic environments?
Reinforcement Learning
Supervised Learning
Unsupervised Learning
6 / 7
Which model architecture revolutionized natural language processing with its self-attention mechanism, enabling efficient training of large-scale models?
Recurrent Neural Networks
Convolutional Neural Networks
Transformer
7 / 7
AI Novice
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