Questions tagged [tensorflow]
For questions related to Google's open-source library for machine learning and machine intelligence. However, note that programming questions are off-topic here.
376 questions
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Using two generative adversarial nets to classify articles - what is a good approach?
I'm trying to create a deep learning network to classify news article based on the text and associated image. The idea comes from a novel use of GANs to classify based on generated data.
My approach ...
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Training a CNN from scratch over COCO dataset [closed]
I am using Tensorflow Object Detection API for training a CNN from scratch on COCO dataset. I need to use this specific configuration.
There is no pre-trained model on COCO with that configuration and ...
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Can LSTM neural networks be sped up by a GPU?
I am training LSTM neural networks with Keras on a small mobile GPU. The speed on the GPU is slower than on the CPU. I found some articles that say that it is hard to train LSTMs (and, in general, ...
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Can I build a CNN for image classification tasks just with OpenCV? [closed]
I have practiced building CNNs for image classification with TensorFlow, which is a nice library with good documentation and tutorials. However, I found that TensorFlow is too complicated and ...
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What YOLO algorithm can I use for images with noise as I will implement it in real time?
I want to detect drivers with or without seatbelts at crossroads. For that, as it is real-time, I am going to use the YOLO algorithm/model. For training data sets (the images) I need to collect, I ...
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Issue with simple game AI
A few months ago I made a simple game that is similar to the dinosaur game in Google Chrome - you jump over obstacles, or don't jump over levitating obstacles, and jump to collect bitcoins, which can ...
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Classifying non-labeled data with high dimensionality
Disclaimer: I am a novice in the world of machine learning, so please excuse my ignorance.
My dataset consists of things like age, days since last visit, etc. This information is medical related. ...
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Detecting license plate using tensorflow
I'm currently working on license plate recognition. My system consist of 2 stage: (1) License Plate region extraction & (2) License Plate region recognition.
I'm doing (1) with Raspberry pi 3 ...
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Does the model learn from the average of all the data points in the mini-batch?
I used the example at - https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/5_DataManagement/tensorflow_dataset_api.py - to create my own classification model. I used different ...
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How to create a task-graph based neural network?
I'm trying to design a neural network with a task hierarchy. This is my idea so far:
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Can TensorFlow minimize "symbolically" [closed]
From https://stackoverflow.com/questions/36370129/does-tensorflow-use-automatic-or-symbolic-gradients, I understood TensorFlow requires all the operations in the Graph to be explicit formulas (instead ...
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Getting worse performance when training a pre-trained model with the existing class
I am training pre-trained SSD-InceptionV2-Coco to detect the "car",
which is one of the classes in mscoco label.
I train the model with ~50k sample from KITTI, 500k iteration with batch size 2.
I ...
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Seq2Seq dialogs predicts only most common words like `you` after couple of epoches
I'm training Seq2Seq model on OpenSubtitles dialogs - Cornell-Movie-Dialogs-Corpus.
My work based on the following papers (but currently I'm not implemented Attention yet):
Sequence to Sequence ...
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Trajectory classification using RNN
The problem: I want to classify a trajectory if it has some properties, for example I want to create a simple 0/1 classifier for circular trajectories. If a target is moving in a circular trajectory ...
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Transfer learning from model trained in a similar dataset
I am currently working on a defect detection algorithm but I only have a few samples of defects.I googled for defect detection datasets and I found this one:
http://resources.mpi-inf.mpg.de/...
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What layers to use in a Neural Network for card game
I am currently writing an engine to play a card game and I would like for an ANN to learn how to play the game. The game is currently playable, and I believe for this game a deep-recurrent-Q-network ...
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If neurons are only defined for values between 0 and 1, how does ReLU differ from the identity?
I'm struggling to understand the underlying mechanics of CNNs so any help is appreciated. I have a network with a ReLU activation function which does perform signifigantly better than one with sigmoid....
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What are "bottlenecks" in neural networks?
What are "bottlenecks" in the context of neural networks?
This term is mentioned, for example, in this TensorFlow article, which also uses the term "bottleneck values". How does ...
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What fast loss convergence indicates on a CNN?
I'm training two CNNs (AlexNet e GoogLeNet) in two differents DL libraries (Caffe e Tensorflow). The networks was implemented by dev teams of each libraries (here and here)
I reduced the original ...
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Can AlexNet be changed to produce floating-point outputs in the range $[-1, 1]$, and, if not, which model should I use?
I'm developing a game AI, which tries to master racing simulation. I already trained a CNN (AlexNet) on in-game footage of me playing the game and the pressed keys as the target.
I had two main issues ...
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Why is Python such a popular language in the AI field?
First of all, I'm a beginner studying AI and this is not an opinion-oriented question or one to compare programming languages. I'm not implying that Python is the best language. But the fact is that ...
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Is there ever a need to combine deep learning frameworks? (Eg. TensorFlow & Torch)?
Imagine a simple scenario of having a large repository using one framework and integrated with data/robots, etc., then having a new feature requested and the framework missing some vital functionality ...
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Who manufactures Google's Tensor Processing Units? [closed]
Does google manufacture TPUs? I know that google engineers are the ones responsible for the design, and that google is the one using them, but which company is responsible for the actual manufacturing ...
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How to train a neural network for a round based board game?
I'm wondering how to train a neural network for a round based board game like, tic-tac-toe, chess, risk or any other round based game.
Getting the next move by inference seems to be pretty straight ...
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How can I identify the car (stored in a database) that corresponds to the car in the new image?
I am looking for a solution that I can use to identify cars.
I have a database with images of cars. About 3-4 per car. What I want to do is upload a picture to the web of the car (picture taken with ...
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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 and deep the neural network I make, I cannot ...
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