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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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28 views

Training a sound localization neural network [on hold]

I am trying to train a neural network, to estimate the location (in degrees from 0 to 180) a sound is coming from. I am using tensorflow keras in python to train the model. The input data are two ...
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1answer
153 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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14 views

Tensorflow Chatbot Integration

I have recently started with chat-bot development using Tensor flow. I have model ready with question and answer output. My question is I am not sure how to use flask to integrate my Tensorflow ...
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1answer
52 views

Python ERROR: No matching distribution found for tensorflow [closed]

Now as I understand that kind of technical questions is out of scope for the ai.stackexchange.com I will use stackexchange.com for such technical questions. Thank you for you all for your ...
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1answer
19k views

Which library would you recommend to begin with deep learning?

Which library (TensorFlow or Keras) would you recommend for a first approach to deep learning? I'm a neuroscience student trying for the first time computational approaches, if that matters.
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1answer
113 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
76 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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1answer
64 views

Should I use single or double view for gender recognition?

My project requires gender recognition of people shown on the given images, with more than one person per image. However, these people can be positioned in frontal or side view(passing by ...
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1answer
68 views

Indoor positioning with variable number of distance measurements in tensorflow

Currently I have a setup where I'm determining the position of a transmitter using the RSSI of 4 receivers. Its a simple feed-forward network with some hidden layers, where the input is the RSSI ...
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7 views

Multiple digits classifier using MobileNetV1

I want to train a model to be able to classify 16 number of digits in image, the numbers of digits are constants. So I create my dataset like these images (Print random 16 number with different font ...
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8 views

How does keras `train_on_batch` return value work?

From the doc, train_on_batch() will return a scalar representing the loss and the metric. I want to know whether the loss/metric is evaluated before the weight is ...
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11 views

tf.data.Dataset: method argument of from_tensor_slices(tensors) unclear [closed]

I'm new to tensorflow and I am working through the Titanic tutorial of Tensorflow 2.0. In this tutorial at some point they create a dataset by applying ...
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1answer
45 views

TF Keras: How to turn this probability-based classifier into single-output-neuron label-based classifier

Here's a simple image classifier implemented in TensorFlow Keras (right click to open in new tab): https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/quickstart/...
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15 views

Trying to separate spiral data with neural network, learning tensorflow

I am learning how to use tensorflow without keras, just to make sure I understand tensorflow directly. I created a spiral-looking datasets with 100 points of each class (200 total), and I created a ...
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15 views

How to recognize two different objects with the similar shape, but different size

I am using Mask-RCNN neural network. I retrained my network to detect and mask wheels of die-cast toy cars. I am using images, which present the side of the car (left or right). Sometimes the cars ...
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45 views

Why the loss keep increasing during training?

I'm trying to use TensorFlow and this how I compute the loss ...
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2answers
43 views

Why is embedding important in NLP, and how does autoencoder work?

People say embedding is necessary in NLP because if using just the word indices, the efficiency is not high as similar words are supposed to be related to each other. However, I still don't truly get ...
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1answer
30 views

dimensions of hidden layer and cell state layer in LSTM

I was following some examples to get familiar with tensorflow LSTM related api, but noticed that all LSTM initialization functions require only num_units parameter which denotes number of hidden units ...
3
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1answer
32 views

CNN how can i reduce gpu memory usage with large image sizes?

I am trying to train a cnn-lstm model, my sample image sizes are 640x640. I have a GTX 1080 ti 11GB. I am using Keras with tensorflow backend. Here is the model. ...
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1answer
144 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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3answers
400 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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1answer
19 views

How to change this RNN text classification code to become text generation code?

I can do text classification with RNN, in which the last output of RNN (rnn_outputs[-1]) is used to matmul with output layer weight and plus bias. That is getting a word (class name) after the last T ...
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1answer
29 views

Tensorflow and Keras model having same parameters, hyperparameters, weight and bias initialization give different accuracy? [closed]

I have made sure that layers,parameters, hyperparameters,kernel_initialization, bias_initialization, seed and dataset are all equal. But still the output for both the models are different. ...
3
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1answer
109 views

Why isn't my Neural Network based calculator working?

I am playing around with neural networks in Tensorflow and I figured an interesting test would be whether I can write a calculator using a Tensorflow Neural Network. I started with simple addition ...
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2answers
55 views

LSTM network doesn't converge, what should be changed? [closed]

I'm testing out TensorFlow LSTM layer text generation task, not classification task; but something is wrong with my code, it doesn't converge. What changes should be done? Source code: ...
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1answer
29 views

How to map X to Y for TensorFlow RNN training data

Usually for DNN, I have the training data of matching X (2D) to Y (2D), for example, XOR data: X = [[0,0],[0,1],[1,0],[1,1]]; Y = [[0], [1], [1], [0] ]; ...
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1answer
25 views

Neural network does not give out the required out put?

Made a neural network using tensor flows that was supposed matches an Ip to one of the 7 type of vulnerabilities and gives out what type of vulnerability that IP has. ...
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24 views

How to get same accuracy with identical models in Keras and Tensorflow?

As we all know Keras backend uses Tensorflow and so it should give out same kind of results when we provide same parameters, hyper-parameters, weights and biases initialisation at each layer, but ...
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34 views

Transformer: Position-wise Feed-Forward network

The Transformer model introduced in "Attention is all you need" by Vaswani et al. incorporates a so-called position-wise feed-forward network (FFN): In addition to attention sub-layers, each of the ...
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7 views

Looking for the right type of 1D-Convolution that only considers one column/attribute

My input has the shape of n rows (time steps) and m columns (attributes). I want to train a convolutional neural network on it to predict a class. I am currently using 1D-Convolutions. I got a good ...
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1answer
32 views

Network doesn't converge with ReLU or Leaky ReLU, but works well with sigmoid/tanh

I have these training data to separate, the classes are rather randomly scattered: My first attempt was using tf.nn.relu activation function, but output was stuck ...
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2answers
226 views

Is there a way to classify sounds

To classify images we are using the tensorflow incection v3 NN. Is there a similar approach to classify sounds? As for example to be able to recognize the person who is talking or classify a general ...
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38 views

Can neural networks output the rules it is using?

I have made a neural network using TensorFlow that is able to identify IP addresses that are likely to have a vulnerability of type A. I want to output the rule it has made for this identification.
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16 views

Matterport MRCNN and multiclass classification

I want to create a model which solve a multiclass classification problem. The main concept is: every picture contain only one object the background is very simple all object is coming from the same ...
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0answers
6 views

Object detector always predict high confidence bounding box after dataset augmentation

I am using the Object Detection API to train a MobilenetV2-SSD object detector with just one class. I started from the sample pipeline tuned for the COCO dataset. During the first training I could ...
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3answers
89 views

Accuracy too high too fast?

I have a simple text classifier, with the following structure: ...
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1answer
44 views

Generate credit cards dataset for locating number region

Currently I'm working on a project for scanning credit card and text extraction from cards. So first of all I decided to preprocess my images with some filters like thresholding, dilation and some ...
3
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1answer
678 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 ...
3
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1answer
51 views

Is it useful to eliminate the less relevant filters from a trained CNN?

Imagine I have a tensorflow CNN model with good accuracy but maybe too many filters: Is there a way to determine which filters have more impact in output? I think it should be possible. At least, if ...
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1answer
43 views

Should the biases be zero or randomly initialised?

I'm initialising DNN of shape [2 inputs, 2 hiddens, 1 output] with these weights and biases: ...
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3answers
187 views

Is a GPU always faster than a CPU for training neural networks?

Currently, I am working on a few projects that use feedforward neural networks for regression and classification of simple tabular data. I have noticed that training a neural network using TensorFlow-...
2
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1answer
39 views

Understanding the intuition behind Content Loss (Neural Style Transfer)

I'm trying to understand the intuition behind how the Content Loss is calculated in a Neural Style Transfer. I'm reading from an articles: https://medium.com/mlreview/making-ai-art-with-style-transfer-...
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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.
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1answer
35 views

Is there a simple way of classifying images of size differing from the input of existing image classifiers?

Most image classifiers like Inception-v3 accept images of about size 299 x 299 x 3 as input. In this particular case, I cannot resize the image and lose resolution. Is there an easy solution of ...
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1answer
49 views

Why do I get a straight line as an output from a neural network?

I am using feedforward neural network for regression and what I get as a result of prediction is a constant value visible on the graph below: Data I use are typical standardised tabular numbers. The ...
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1answer
15 views

Solution to classify product names

I have a bunch of training data for classifying product names, around 30,000 samples. The task is to classify these product names into types of product, around 100 classes (single words). For example:...
2
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1answer
46 views

Why tf object detection api needs so few pictures?

I am wondering why tf object detection api needs so few picture samples for training while regular cnns needs many more? What I read in tutorials is that tf object detection api needs around 100-500 ...
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1answer
38 views

TensorFlow estimator DNNClassifier fails to fit simple data

The ready-to-use DNNClassifier in tf.estimator seems not able to fit these data: ...
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1answer
27 views

Is “dataset size” and “model size” same thing?

I mean what is determine my model size, connection amount between layers and neurons, or size of my dataset?
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1answer
18 views

Create optimizer object using the tf.keras.optimizers.get function

I am trying to have the type of optimizer as a variable in the hyperparameter tuning phase. For that reason I am trying to use the tf.keras.optimizer.get function ...