Artificial Intelligence

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Question with 1,000 views. This badge can be awarded multiple times.
Awarded 848 times.
Neural Network for Optical Mark Recognition?
Awarded Jul 12 at 5:06
What is difference between edge computing and federated learning?
Awarded Jul 9 at 9:01
Aren't all discrete convolutions (not just 2D) linear transforms?
Awarded Jul 8 at 17:41
Can we get the inverse of the function that a neural network represents?
Awarded Jul 8 at 6:48
Does Monte Carlo tree search qualify as machine learning?
Awarded Jul 7 at 10:20
Should I continue training if the neural network attains 100% training accuracy?
Awarded Jul 6 at 19:16
Why am I getting spikes in the values of the loss function during training?
Awarded Jul 3 at 11:40
Can artificial intelligence also make mistakes?
Awarded Jul 1 at 15:15
Is my understanding of the differences between MDP, Semi MDP and POMDP correct?
Awarded Jun 29 at 21:10
What is the meaning of "stationarity of statistics" and "locality of pixel dependencies"?
Awarded Jun 26 at 17:58
What is the "semantic level"?
Awarded Jun 25 at 12:55
Can Machine Learning be applied to decipher the script of lost ancient languages?
Awarded Jun 21 at 9:27
Too small gradient on large neural network
Awarded Jun 20 at 18:30
What parameters can be tweaked to avoid a generator or discriminator loss collapsing to zero when training a DC-GAN?
Awarded Jun 18 at 16:33
What is the actual learning algorithm: back-propagation or gradient descent?
Awarded Jun 17 at 9:01
What is a high dimensional state in reinforcement learning?
Awarded Jun 12 at 2:35
How Euclidean distance algorithm calculate two different face images are match or not match in face recognition? [closed]
Awarded Jun 11 at 22:49
How to find the subject in a text? [closed]
Awarded Jun 11 at 20:57
What could an oscillating training loss curve represent?
Awarded Jun 11 at 20:32
What is the difference between deep learning and shallow learning?
Awarded Jun 10 at 5:56
I need to predict ball position from set of Images
Awarded Jun 8 at 18:48
Can I do image classification with Multi Layers Perceptron (MLP)?
Awarded Jun 8 at 11:01
What is the difference between an episode, a trajectory and a rollout?
Awarded Jun 5 at 21:08
What should we do when the selection step selects a terminal state?
Awarded Jun 5 at 18:05
Which algorithm is used in the robot Sophia to understand and answers the questions?
Awarded Jun 5 at 15:34
How to create Partially Connected NNs with prespecified connections using Tensorflow?
Awarded Jun 3 at 20:03
How is AlphaZero different from Stockfish or Rybka?
Awarded May 31 at 22:36
Compute Jacobian matrix of Deep learning model?
Awarded May 30 at 18:34
Neural Network Optimizers in Reinforcement Learning non-well behaved environments
Awarded May 30 at 5:51
Is a linear activation function (in the output layer) equivalent to an identity function?
Awarded May 29 at 0:16
What are the main algorithms used in computer vision?
Awarded May 28 at 8:20
When should Monte Carlo Tree search be chosen over MiniMax?
Awarded May 25 at 9:40
How is BERT different from the original transformer architecture?
Awarded May 16 at 17:27
Does backpropagation update weights one layer at a time?
Awarded May 15 at 21:02
In what ways is the term "topology" applied to Artificial Intelligence?
Awarded May 15 at 12:42
What is the target Q-value in DQNs?
Awarded May 14 at 3:07
What language is the GPT-3 engine written in?
Awarded May 12 at 16:48
How do I write a good evaluation function for a board game?
Awarded May 11 at 6:30
Why does the bias need to be a vector in a neural network?
Awarded May 10 at 15:11
Why can a fully convolutional network accept images of any size?
Awarded May 10 at 13:11
What are the benefits of using max-pooling in convolutional neural networks?
Awarded May 4 at 22:12
Deep Q-Learning: why don't we use mini-batches during experience reply?
Awarded May 4 at 20:47
Fourier Transform inputs (Frequency) for RNN
Awarded May 4 at 15:13
How much computing power does it cost to run GPT-3? [closed]
Awarded May 4 at 7:56
What are the available exploration strategies for continuous action space scenarios in RL?
Awarded May 3 at 8:51
What is a "generalized" machine learning algorithm?
Awarded May 3 at 8:30
What's the advantage of log_softmax over softmax?
Awarded May 1 at 1:22
Variational Autoencoder task for better feature extraction
Awarded Apr 28 at 4:40
How to Mask an image using Numpy/OpenCV? [closed]
Awarded Apr 27 at 21:57
What is a bad local minimum in machine learning?
Awarded Apr 26 at 15:12
Which is more memory efficient uninformed or informed search algorithms?
Awarded Apr 24 at 20:36
How can I manually calculate the output a specific neural network given some input?
Awarded Apr 23 at 4:11
What is the difference between Q-learning, Deep Q-learning and Deep Q-network?
Awarded Apr 22 at 8:22
What is the difference between encoders and auto-encoders?
Awarded Apr 21 at 19:36
Does using the softmax function in Q learning not defeat the purpose of Q learning?
Awarded Apr 21 at 5:32
Which nodes are expanded in the expansion phase of MCTS?
Awarded Apr 18 at 20:49
What is the difference between one-shot learning, transfer learning and fine tuning?
Awarded Apr 18 at 10:57
What are the advantages and disadvantages of using LISP for constraint satisfaction in 3D space
Awarded Apr 17 at 5:13
How does best-first search differ from hill-climbing?
Awarded Apr 17 at 5:13
Are the training loss and validation loss plotted per sample or per batch?
Awarded Apr 17 at 2:55
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