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Artificial Intelligence : Recent Questions and Answers (Page 8)

Find answers to your questions about Artificial Intelligence or help others by answering their Artificial Intelligence questions.

When would bias regularisation and activation regularisation be necessary?

For Keras on TensorFlow, a layer class constructor comes with these:kernel_regularizer=...bias_regularizer=...activity_regularizer=...For example, Dense layer:https://www.tensorflow.org/api_docs/python/tf/keras/layers/Dense#arguments_1 The first one, kernel_regularizer is easy to understand, it regularises weights, makes...

Asked on 08/24/2021

1 answer

Upper limit to the maximum cumulative reward in a deep reinforcement learning problem

Is there an upper limit to the maximum cumulative reward in a deep reinforcement learning problem? For example you want to train an DQN agent in an environment and you...

Asked on 08/24/2021 by Kamran Thomas Alimagham

3 answer

In continuous action spaces, how is the standard deviation, associated with Gaussian distribution from which actions are sampled, represented?

I have a question about implementing policy gradient methods for problems with continuous action spaces. Assume that actions are sampled from a diagonal Gaussian distribution with mean vector $mu$...

Asked on 08/24/2021 by M.S.

0 answer

How to classify data which is spiral in shape?

I have been messing around in tensorflow playground. One of the input data sets is a spiral. No matter what input parameters I choose, no matter how wide...

Asked on 08/24/2021 by Souradeep Nanda

8 answer

Extending FaceNet’s triplet loss to object recognition

FaceNet uses a novel loss metric (triplet loss) to train a model to output embeddings (128-D from the paper), such that any two faces of the same identity will have...

Asked on 08/24/2021 by Benedict Aaron Tjandra

1 answer

When is it time to switch to deep neural networks from simple networks in text classification problems?

I did an out of domain detection task (as a binary classification problem) and tried LR and Naive Bayes and BERT but the deep neural network didn't perform better than...

Asked on 08/24/2021

1 answer

time-series prediction : loss going down, then stagnates with very high variance

I am trying to design a model based on LSTM cells to do time-series prediction. The ouput value is an integer in [0,13]. I have noticed that one-hot encoding it...

Asked on 08/24/2021 by Johncowk

1 answer

Why isn't my implementation of DQN using TensorFlow on the FrozenWorld environment working?

I am trying to test DQN on FrozenWorld environment in gym using TensorFlow 2.x. The update rule is (off policy)$$Q(s,a) leftarrow Q(s,a)+alpha (r+gamma~ max_{a'}Q(s',a')-Q(s,a))$$ I am using...

Asked on 08/24/2021 by kosa

1 answer

What's the intuition behind contrastive learning?

Recently, I have seen a surge of papers w.r.t contrastive learning (a subset of semi-supervised learning). Can anyone give a detailed explanation of this approach with its advantages/disadvantages and...

Asked on 08/24/2021 by CATALUNA84

1 answer

What are the most common feedforward neural networks?

What are the most common feedforward neural networks? What kind of inputs do they receive? For example, do they receive binary numbers, real numbers, vectors, or matrics? Is there such...

Asked on 08/24/2021 by Caesar Cruez

1 answer

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