# All Questions

4,752 questions
Filter by
Sorted by
Tagged with
9 views

### detection with only classification

how to make a detector only with classification, I don't need the localization funtion (yolo/FasterRCNN bounding boxes). the Cats and Dogs classification works very well, but if I make inference on a ...
8 views

### Why feed actions in later layer in Q network?

I read the DDPG paper, in which the authors state that the actions are fed only later to their Q network: Actions were not included until the 2nd hidden layer of Q. (Sec 7, Experiment Details) So ...
13 views

### REINFORCE algorithm for portfolio optimization - problem while training

I'm trying to implement the Reinforce algorithm (Monte Carlo policy gradient) in order to optimize a portfolio of 94 stocks on a daily basis (I have suitable historical data to achieve this). The idea ...
11 views

### The disadvantage of maximum number of fitness function call as stop criteria

I'm studying different stop criteria in genetic algorithm and advantages and disadvantages of each of them for evaluating different algorithms. One of these methods is max number of fitness function ...
20 views

### when should I create a custom loss function?

Hi I'm using neural network to solve a multi regression problem. I'm trying to predict continuous values, to be more specific I'm making a tracking algorithm to track the position of an Object, I'm ...
17 views

### Kullback-Leibler Divergence? How does it give knowledge gained?

I'm reading on KL Divergence on Wikipedia and I don't understand how the equation gives "information gained" as it says. I was under the impression that KL divergence is a way of measure difference ...
24 views

### When should I use a linear activation instead of ReLU?

I have read this post: How to choose an activation function?. There is enough literature about activation functions, but when should I use a linear activation instead of ReLU? What does the author ...
25 views

73 views

### An “elevator pitch” breakdown of areas of applications for Reinforcement Learning & Neural Networks vs. Genetic Algorithms

I'm looking for an "elevator pitch" breakdown of areas of applications for Reinforcement Learning & Neural Networks vs. Genetic Algorithms, both actual and theoretical. Links are welcome, but ...
60 views

### Emotional Speech Synthesis

We are a team of computer science our graduation project about EmotionalSpeech Synthesis. We've found valuable information like research papers and WaveNet, Tacotron. A website (https://www.voicery....
35 views

### How can an AI play Flow Free?

The game "Flow Free" in which you connect coloured dots with lines is very popular. A human can learn techniques to play it. I was wondering how an AI might approach it. There are certain rules of ...
81 views

### “AI will kill us all! The machines will rise up!” - what is being done to dispel such myths?

Science Fiction has frequently shown AI to be a threat to the very existence of mankind. AI systems have often been the antagonists in many works of fiction, from 2001: A Space Odyssey through to The ...
33 views

### How can I use Flask to integrate a chatbot created with TensorFlow into a website?

I have recently started developing a chatbot with TensorFlow. I already have a model that receives a question and outputs an answer. But how do I use Flask to integrate my Tensorflow chatbot model ...
54 views

### Recurrent Neural Network to track distance from origin

I have a game/simulation that takes a vector of encoded sequences of moves (up, down, left, right). Let's say that these are sequential step taken by an ant moving in a 2D space, starting from the ...
25 views

### Doubt in Deep-Q learning with sparse rewards

I am working on a deep reinforcement learning problem, when I got stuck at the following questions. They are rather general and not specific to my specific problem. The solution uses a sparse reward ...