Network profile

Eka

Reputation

870

2018
2019
2020
2021

Top tag

long-short-term-memory

Next privilege

1,000 Rep.

Edit questions and answers

Badges

Newest

Yearling

Next badge

16/30

Impact

3 posts edited

0 helpful flags

63 votes cast

16 Questions

Votes Activity Newest Views

votes

answers

views

How are generative adversarial networks trained?

Nov 22 at 12:30 nbro♦ 23.9k

votes

answers

443

views

Are neural networks and its variants the only way to reach true artificial intelligence?

neural-networks

Aug 10 '16 at 12:36 NietzscheanAI 6,760

votes

answer

views

How is the gradient calculated for the middle layer's weights?

neural-networks backpropagation gradient-descent

May 18 at 1:34 Eka 870

votes

answers

232

views

Could curiosity improve artificial intelligence?

human-inspired

Feb 25 '19 at 19:14 nbro♦ 23.9k

votes

answers

174

views

Can we destroy an artificial general intelligence without its consent?

philosophy agi ethics

Mar 10 at 2:33 nbro♦ 23.9k

votes

answer

695

views

Which neural networks can be used only for storing and retrieving information?

neural-networks

Sep 20 '16 at 13:17 BlindKungFuMaster 3,757

votes

answers

472

views

What is a probability distribution in machine learning?

machine-learning terminology definitions probability-distribution notation

1d ago nbro♦ 23.9k

votes

answers

views

How does the memory mechanism (reading and writing) work in a neural Turing machine?

neural-networks deep-learning math memory neural-turing-machine

Dec 27 '19 at 12:13 Eka 870

votes

answer

306

views

Hand computing feed forward and back propagation of neural network

neural-networks backpropagation

Apr 5 '19 at 5:43 Eka 870

votes

answers

views

How does positional encoding work in the transformer model?

deep-learning natural-language-processing attention transformer

Sep 17 at 13:19 nbro♦ 23.9k

votes

answers

198

views

How does deepfake technology work with multiple people in a single frame?

deep-learning applications generative-adversarial-networks autoencoders deepfakes

Nov 19 '19 at 14:48 nbro♦ 23.9k

votes

answers

115

views

Why experience reply memory in DQN instead of a RNN memory?

reinforcement-learning dqn deep-rl long-short-term-memory experience-replay

Apr 22 '19 at 12:05 nbro♦ 23.9k

votes

answer

322

views

How does deepmind's Atari game AI work?

deep-neural-networks deep-learning convolutional-neural-networks gaming

Sep 11 '16 at 10:29 Eka 870

vote

answers

views

Will adding memory to a supervised learning system makes it into a Bayesian learning system?

generative-adversarial-networks bayesian-deep-learning bayesian-statistics game-gan

Jun 13 at 13:50 nbro♦ 23.9k

vote

answer

117

views

How does the policy gradient's derivative work?

reinforcement-learning policy-gradients pytorch reinforce expectation

May 17 at 22:11 nbro♦ 23.9k

vote

answer

views

Why is image classification tasks are dominated by minimizing cost function instead of maximizing ones?

deep-learning classification theory loss-functions policy-gradients

Oct 14 '19 at 5:18 Eka 870

Stack Exchange Network

current community

your communities

more stack exchange communities

Next privilege

Next badge

16 Questions

How are generative adversarial networks trained?

Are neural networks and its variants the only way to reach true artificial intelligence?

How is the gradient calculated for the middle layer's weights?

Could curiosity improve artificial intelligence?

Can we destroy an artificial general intelligence without its consent?

Which neural networks can be used only for storing and retrieving information?

What is a probability distribution in machine learning?

How does the memory mechanism (reading and writing) work in a neural Turing machine?

Hand computing feed forward and back propagation of neural network

How does positional encoding work in the transformer model?

How does deepfake technology work with multiple people in a single frame?

Why experience reply memory in DQN instead of a RNN memory?

How does deepmind's Atari game AI work?

Will adding memory to a supervised learning system makes it into a Bayesian learning system?

How does the policy gradient's derivative work?

Why is image classification tasks are dominated by minimizing cost function instead of maximizing ones?