Questions tagged [tensorflow]

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

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33 views

Why feeding the correct output as input during training of seq2seq models?

So, I've read about seq2seq for time-series and it seemed really promising, but when I went to implement it, all the tutorial I've found use the correct output as input to the decoder phase during ...
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1answer
43 views

Do I need to use a pre-processed dataset to classify comments?

I want to use Machine Learning for text classification, more precisely, I want to determine whether a text (or comment) is positive or negative. I can download a dataset with 120 million comments. I ...
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16 views

In addition to matrix algebra, can GPU's also handle the various Kernel functions for Neural Networks?

I've read a number of articles on how GPUs can speed up matrix algebra calculations, but I'm wondering how calculations are performed when one uses various kernel functions in a neural network. If ...
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32 views

Multiple embedding layers?

How would one go about inputting multiple high dimensionality categorical columns using TensorFlow's Embedding Feature Columns? Does that even make sense to do? For example: for a car price predictor,...
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87 views

How are the attention weights normalised in the transformer?

In the Transformer (adopted in BERT), we normalize the attention weights (dot product of keys and queries) using a softmax in the Scaled Dot-Product mechanism. It is unclear to me whether this ...
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1answer
179 views

Error using Keras clear_session while multiple calibration

I am working through the tutorial here. I just cleaned up the code for myself but other than that code is as in original tutorial. I am using the pollution data from the following link When I try to ...
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1answer
271 views

How do I integrate Tensorflow with EV3DEV?

I've got a Lego Mindstorms EV3 with EV3DEV and EV3-Python installed. I wanted to try out artificial intelligence with the robot, and my first project is going to be to get the robot to try and ...
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1answer
95 views

Artifacts After pruning Unet CNN

Im trying to make a dark image brighter using CNN-UNet arcitecture. When I train the network I get the following results: When I cut the features in half for pruning, and do full train again, I get ...
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0answers
37 views

DQN not able to learn in a game where other agents perform random walks

I am making a school project where I should develop any kind of game where I can have one reactive agent and one agent based on machine learning competing with each other. My game consists of a ...
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1answer
28 views

Changing the batch, mini-batch and learning rate for a previously-trained model

If I'd previously trained a model and saved the whole training session (using TensorFlow tf.train.Saver.save()), and then later restored the session (using ...
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0answers
40 views

RNN: Different test results on balanced and unbalanced data

I trained a recurrent neural network (if it matters - it contains three CuDNNLSTM cells and 3 Dense layers, Dropout = 0.2). The result of data preparation is one array of ~330.000 sequences. Each ...
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1answer
721 views

How to detect LEGO bricks by using a deep learning approach?

In my thesis I dealt with the question how a computer can recognize LEGO bricks. With multiple object detection, I chose a deep learning approach. I also looked at an existing training set of LEGO ...
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31 views

how to add the pool4 to the 2 x conv7 in FCN-16s using keras?

Now I'm using tensorflow.keras to implement the FCN-16s, this picture may be different with others, you should focus this it add ...
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1answer
46 views

How do I normalise/un-normalise data when loading a model?

I am following this TensorFlow JS tutorial where you load car data. The data looks like this: [{x:100, y:20}, {x:80, y:33}] X is the horsepower of a car, Y is ...
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2answers
580 views

How to implement word2vec using Tensorflow 2.0 keras API?

Since Keras API as defined as layers, how would it be used to implement the word2vec?
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0answers
159 views

YOLO v3 complete architecture

I am attempting to implement YOLO v3 in Tensorflow-Keras from scratch, with the aim of training my own model on a custom dataset. By that, I mean without using pretrained weights. I have gone through ...
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41 views

How to limit actions based on a state [duplicate]

I'm trying to implement DQN using tf-agents for simple environment. So far I have ...
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0answers
19 views

Controlling number of channels in weight/kernel in tensorflow

To implement a specific function, I need "input_channels" number of kernels in my layer, each having only a single channel depth, and not depth = "input_channels". I need to convolve one kernel with ...
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0answers
229 views

Neural Network Regression predicting negative values

I am training a model using the DNN Regressor estimator from the Tensorflow API to predict prices based on 1035 features. My dataset contains a little over 500 millions inputs and none of the target ...
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0answers
18 views

How to serve a deep q network using tensorflow serving?

How to Serve a Deep Q Network using Tensorflow Serving. I have built a Deep Q Network using Multilayer Perceptron. Is it possible to serve it?
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20 views

Loading multiple trained models for use in multi-agent environment

I have an agent that will play in a multi-agent environment, and I'd like that agent to play against other agents that have been previously trained. The model for each agent was saved using ...
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0answers
115 views

Selu and how to implement it?

I just came accros the "Selu" function. It looks promising, especially with the header "self normalizing neural network", since I have some serious with exploding gradient within my network with (...
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0answers
49 views

How do I apply batch normalization to my algorithm?

I am working lately on batch normalization for the last couple of days, but I just can't seem to solve it on how to apply it. So, to give the full code to you, I will just send the implementation. ...
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1answer
370 views

Getting NaN from A3C PPO model [closed]

I've pieced together this A3C w/ PPO Gym Pendulum example, but I'm finding after a while, when attempting to get the action from the model, I get a NaN return: ...
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37 views

Adding features in TensorFlow playground

I am trying to solve the spiral exercise in TensorFlow but I can not add features like in this answer https://ai.stackexchange.com/a/10000/22691. How can I do that?
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2answers
1k 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 ...
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1answer
55 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 ...
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0answers
24 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 ...
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0answers
26 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 <...
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0answers
109 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....
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1answer
53 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 ...
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1answer
31 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 ...
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3answers
563 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 ...
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2answers
311 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.
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1answer
163 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 ...
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2answers
93 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....
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1answer
72 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: ...
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1answer
38 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 ...
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1answer
58 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: ...
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1answer
194 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 (...
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0answers
343 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 ...
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0answers
26 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 ...
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1answer
90 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 ...
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1answer
413 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
134 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 ...
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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, ...
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1answer
112 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 ...
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3answers
3k 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 ...
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0answers
238 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 ...
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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) ...