Stack Exchange Network

Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

Questions tagged [tensorflow]

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

0
votes
0answers
9 views

How my LSTM is making association between the columns?

I have created LSTM model using the following Tensorflow code: ...
0
votes
0answers
13 views

Any Case that Inception V1 (GoogleNet) Performs Better than Inception V3?

I tried to do transfer learning using 2 methods : GoogleNet with Caffe framework training on Nvidia DIGITS Inception V3 with Tensorflow framework (no DIGITS) My dataset is quite large with 1 million ...
2
votes
2answers
78 views

How to use CNN for making predictions on non-image data?

I have a dataset which I have loaded as a data frame in Python. It consists of 21392 rows (the data instances, each row is one sample) and 1972 columns (the features). The last column i.e. column 1972 ...
2
votes
1answer
19 views

Testing, Validation Percentage & Test, Validation Batch Size Difference?

I'm doing transfer learning using Inception on Tensorflow. The code that I used for training is https://raw.githubusercontent.com/tensorflow/hub/master/examples/image_retraining/retrain.py If you ...
0
votes
0answers
10 views

How to remove unwanted signals from the sensor measurement?

I have 2 tabular datasets, one is clean and one is drifted. They are records of sensor measurements. I move the sensor around in the room and collected thousands of measurements. I have a sensor that ...
-1
votes
0answers
41 views

What is the equivalent of a placeholder in PyTorch?

I have to convert some code written in TensorFlow to PyTorch. All my files are placed here: https://drive.google.com/open?id=1wRoPRLtJHjWoaND8msdvET6cQHEEKNGf. What is the equivalent PyTorch code to ...
1
vote
0answers
15 views

Kera's (normal) LSTM uses the GPU?

I'm running Kera's LSTM (not CuDNNLSTM) but I notice my GPU is under load. I need recurrent dropout, so I can only stick with <...
1
vote
0answers
22 views

Tensorflow : Inception V3 Transfer Learning Parameter Tuning

Sorry if my question is at the wrong place, I'm new in this community. So, I have dataset with total of 1 million images (augmented) that separated in 28 classes. I followed this tutorial https://www....
1
vote
1answer
46 views

How do I make AI based object picker?

I want to develop an AI based object (mainly toy) picker that can clean my kid's room and put toys in toy basket. Can somebody help me how to acheive this? I want to make a custom solution so that it ...
3
votes
1answer
27 views

Artificial intelligence services at the edge

I am a strategy consultant, deeply interested in edge computing and distributed and decentralized systems. In performing some analysis on current edge offerings, I am curious as to how ML and AI ...
3
votes
3answers
116 views

How to implement a Continuous Control of a quadruped robot with Deep Reinforcement Learning in Pybullet and OpenAI Gym?

Description I have designed this robot in URDF format and its environment in pybullet. Each leg has a minimum and maximum value of movement. What reinforcement algorithm will be best to create a ...
1
vote
2answers
78 views

I need to predict ball position from set of Images

I am a novice developer in AI. Any help appropriated. I have a set of images and from that I want to predict position(x,y co-ordinates) of the Ball. Thanks in advance.
1
vote
1answer
48 views

Should I apply ReLU to non negative output?

Suppose I want to predict the position of a sensor based on its reading. I can first predict the unit vector and predict the distance to be multiplied to this vector. And I know that distance will ...
-1
votes
2answers
65 views

How TensorFlow will know if the prediction is true or false?

I'm completely new at ML, but really interested. To be honest, read many articles about it, but still don't understand the workings of it. I just started to understand this example: https://storage....
0
votes
1answer
35 views

How can I oppose two AI agents with keras / tensoflow?

I am trying to use tensorflow / keras to play a text based game. The game opposes two players that play by answering questions by choosing an answer among the proposed ones. Game resembles this: ...
0
votes
1answer
33 views

Classification of books by their cover page

I am classifying about 9 books from the image of their cover pages. I am using a TensorFlow Keras CNN model for this. But, the model predicts a book even when a picture of a book is not taken, like a ...
1
vote
1answer
20 views

How to solve the AttributeError: 'Ssd' object has no attribute 'freeze_batchnorm' [closed]

I use a modified training script for modeling images with Tensorflow/Keras/Mobilenet_V2. After a few errors that I could solve I now get the following error: ...
0
votes
1answer
50 views

What should a good loss curve look like?

This is a very basic question. I'm running a faster rcnn trainer on a dataset for object recognition. My images range from 200x200 to 7360x4912 in resolution. There are only 2 classes being trained (...
1
vote
1answer
206 views

Continuous Advantage Actor Critic Implementation

I'm having trouble implementing AC for continuous action space. As far as I can tell, my code doesn't seem to have any bugs! The agent is learning "something" as its behaviour seems to vary ...
1
vote
0answers
21 views

Evaluating Utility of Incremental RAM

The Nvidia 2080 GPUs command a $500 premium for 3GB of incremental RAM (8GB -> 11GB). What are the relevant questions and thought process to determine the incremental improvement by moving from the ...
0
votes
1answer
59 views

Tensorflow - finding the right model on my use case

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
vote
1answer
123 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
vote
1answer
57 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 ...
4
votes
2answers
3k 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
votes
1answer
59 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 ...
5
votes
4answers
744 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
votes
0answers
114 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
votes
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
votes
1answer
83 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
votes
1answer
136 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
vote
0answers
20 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
votes
0answers
18 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
votes
1answer
498 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
votes
2answers
56 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
186 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
vote
0answers
64 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?
5
votes
2answers
2k 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
votes
5answers
1k 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
vote
1answer
57 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 ...
5
votes
1answer
267 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 ...
5
votes
1answer
160 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
vote
2answers
66 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
votes
1answer
658 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
votes
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
vote
0answers
172 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
vote
0answers
46 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: ...
6
votes
1answer
748 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
vote
0answers
161 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
votes
1answer
36 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 ...
2
votes
1answer
419 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 ...