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Questions tagged [tensorflow]

For questions related to Google's open source library for machine learning and machine intelligence.

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3
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1answer
87 views

Which model should I use to determine the similarity between predefined sentences and new sentences?

The Levenshtein algorithm and some ratio and proportion may handle this use case. Based on the pre-defined sequence of statements, such as "I have a dog", "I own a car" and many more, I must ...
1
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1answer
361 views

Can we combine multiple different neural networks in one?

I want to make a kind of robotic brain i.e. a big neural network, which includes NLP model (for understanding human voice) , real-time object recognition (so it can identify particular object), face ...
1
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1answer
98 views

Is 1mb an acceptable memory size for images being trained in a CNN?

I am using Tensorflow CNN to build an image classification/prediction model. Currently all the images in the dataset are each about 1mb in size. Most examples out there use very small images. The ...
5
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2answers
4k views

How fast is TensorFlow compared to self written neural nets?

I made my first neural net in C++ without any libraries. It was a net to recognize numbers from the MNIST dataset. In a 784 - 784 - 10 net with sigmoid function and 5 epochs with each 60000 samples, ...
-1
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1answer
95 views

How to visualize the time complexity for training a Neural Network

I want to compare the time complexity of two deep neural networks, but I have no idea how to go about it. How do I graphically achieve that with respect to the number of iterations, accuracy or any ...
7
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3answers
2k views

Can neuro-evolution of augmenting topologies (NEAT) neural networks be built in TensorFlow?

I am making a machine learning program for time series data analysis and using NEAT could help the work. I started to learn TensorFlow not long ago but it seems that the computational graphs in ...
2
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0answers
210 views

How many episodes does it take for a vanilla one-step actor-critic agent to master the OpenAI BipedalWalker-v2 problem?

I'm trying to solve the OpenAI BipedalWalker-v2 by using a one-step actor-critic agent. I'm implementing the solution using python and tensorflow. I'm following this pseudo-code taken from the book ...
0
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1answer
75 views

Automatic prediction of whether a customer will come into the shop or not

So as my university project I am planning to make a prediction system as described in the title. My current idea is to use the age/gender classifier and run it on a video(taken in front of a shop) ...
3
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1answer
142 views

What exactly does “channel” refer to in tensorflow/lucid?

Tensorflow/Lucid is able to visualize what a "channel" of a layer of a neural network (image recognition, Inception-v1) responds to. Even after studying the tutorial, the source code, the three ...
-1
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1answer
260 views

Simple Object Detection

I want to create a simple Object detection tool. So basically an Image will be provided to the tool and from that, it has to detect the number of objects. For eg An image of a dining table which ...
1
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0answers
26 views

Sequence to sequence machine learning / NMT - converting numbers into words

I want to do some sequence to sequence modelling on source data that looks like this: /-0.013428/-0.124969/-0.13435/0.008087/-0.269241/-0.36849/ with target data ...
2
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0answers
22 views

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 ...
4
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1answer
716 views

Training a CNN from scratch over COCO dataset

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 ...
-1
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2answers
58 views

Training problem with deep neural network model

I am using TensorFlow's Adam optimizer and ReLu activation. But each time I train my model the cost becomes stagnant after some epochs. Can any one help me out with the possible reasons I have added ...
4
votes
1answer
310 views

Identifying car model via deep learing

Is there any project or example for a software identifying cars? Situation: I got multiple angle shots in high resolution from a car. I want the algorithm to tell me "This is a Mercedes SLK" or "This ...
1
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0answers
84 views

How will AlphaGo be implemented in Tensorflow.js?

AlphaGo is eventually going to be implemented in Tensorflow.js. How to tackle the change of functionality that the new JavaScript language will bring?
6
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2answers
7k views

Can LSTM Nets be speed up by GPU?

I am training LSTM Nets with Keras on a small mobile GPU. The speed on GPU is slower then on CPU. I found some articles that say that it is hard to train LSTMs (RNNs) on GPUs because the training ...
3
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5answers
2k views

CNN with OpenCV

I have practiced building cnn for image classification with tensorflow, luckily to me they have very good library documentation and tutorials. But i found that tensorflow is too complicated, building ...
1
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1answer
76 views

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 cross roads and for that, as it is real time, I am going to use yolo algorithm. For training data sets (the images) I need to collect, I placed a ...
6
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2answers
383 views

Reinforcement Learning in Commercial Strategy Games

I'm a professional game developer investigating the potential for using reinforcement learning to build strategy game AI opponents that have more creative behavior compared to traditional techniques ...
6
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1answer
180 views

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 ...
1
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2answers
75 views

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. ...
3
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1answer
1k views

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 ...
5
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3answers
1k views

TensorFlow batch learning

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 ...
1
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0answers
219 views

How To Improve This Sentiment Analysis Model

A.I Community, this is my first post on here I am currently reading, learning and designing models. At the moment I'm working on this sentiment analysis tool; from what I gather sentiment analysis can ...
1
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0answers
48 views

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: ...
8
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1answer
2k views

Meaning of evaluation metrics in Tensorflow

I am pretty much a beginner in Tensorflow and simply follow a tutorial. There is no problem with my code, but I have a question regarding the output ...
1
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0answers
197 views

How to set Stride,Filter size in Tensorflow for 1-D signals?

I am trying to implement CNN using tensorflow on temporal accelrometer signal. I have signal values segmented on every 10ms (200 samples). I want to perform 1-D convolution (...
0
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1answer
45 views

Can TensorFlow minimize “symbolically”

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 ...
3
votes
1answer
680 views

How do you handle multiple categorical values in a single column for wide_deep model in tensorflow?

To start, let me just say that I am very new to tensorflow and Machine Learning in general. But, as part of my learning project I am trying to adapt the tensorflow wide and deep model to generate ...
2
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0answers
419 views

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 ...
0
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0answers
35 views

Being able to see how tensorflow “weighs” features in classifier

Say you follow a tutorial on the tensorflow website for a wide and deep model (https://www.tensorflow.org/tutorials/wide_and_deep) I create a model based on the US census data to predict whether or ...
3
votes
1answer
871 views

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 ...
0
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1answer
2k views

L2 normalization in Facenet paper acting as a Constraint?

In the Facenet paper, Under section 3.2 The authors mention that: The embedding is represented by f(x) ∈ Rd . It embeds an image x into a d-dimensional Euclidean space. Additionally, we constrain ...
1
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0answers
121 views

My network does always predict always the first right class

I trained my model ResNet-50 for UCMerced_LandUse dataset and this my loss graph but I have a problem when I try my first picture ...
1
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1answer
40 views

Improving learning rate for classification task

I am trying to perform classification task using Keras and tensorflow. However, the learning converges after achieving an accuracy of 57%. All my inputs and outputs are categorical data. Am I using ...
1
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0answers
144 views

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 ...
2
votes
1answer
324 views

TensorFlow training evaluation

I'm having trouble with accuracy evaluation at the end of Session. Training process looks like this: ...
-1
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1answer
35 views

Best way to build API for input data and get response classified by tensorflow?

I trained data for recognizing the fingerprint of my friends. I am feeding testing data to local machine by hardware. What should I do to run this as a server and get the data over network in least ...
1
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0answers
217 views

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/...
3
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2answers
794 views

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 ...
3
votes
1answer
109 views

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....
1
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2answers
174 views

Why does ReLU (and other non linearities) work?

Can someone please point me to where I can read up on why non linearities that can produce values larger than 1 or smaller than 0 work. My understanding is that neurons can only produce values between ...
1
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0answers
250 views

Tensorflow: Can't overfit training data with batch size > 1

I coded a small RNN network with Tensorflow to return the total energy consumption given some parameters. There seem to be a problem in my code. It can't overfit the training data when I use a batch ...
9
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3answers
9k views

What is the concept of Tensorflow Bottlenecks?

What is the concept and how does one calculate Bottleneck values? How do these values help image classification? Please explain in simple words.
1
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0answers
43 views

Regarding Tensorflow: How to Avoid Duplicate Use of Scope/Variable_names

I am trying to train Chess data through CNN. To proceed reinforcement learning, I had divided into two - "current network" and "reinforcement network". For each checkpoint file stored in different ...
1
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0answers
698 views

Object detection in video

I have a video which is capture from a moving car and video showing plenty of details like pools, human, cars/buses, roads, etc, etc. The video I am playing in unity3d and camera Showing that video ...
1
vote
1answer
2k views

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 ...
2
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0answers
133 views

How to measure times on TensorFlow Slim?

I would like to measure time for forward and backward times on TF-Slim (over all network and per-layer) like caffe does. However, it just logs the step/iteration time, and I have no idea of how to do ...
3
votes
1answer
107 views

Programming an inference AI that computes the best outcomes like a quantum computer

I bought an Intel Movidius Neural Compute stick a few weeks ago. Even though I can use it with the examples, I want to actually use it for something! The documentation is messy, and hard to work ...