Questions tagged [tensorflow]

TensorFlow is an open source library for machine learning and machine intelligence. It is developed by Google and became open source in November 2015.

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Tensorflow loop to analyze gradients derived from MRI and PET images

The code shown below takes the partial derivative of each pixel of the output fused image of a neural network with respect to input image of the neural network using tensorflow's ...
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139 views

Deep learning CNN for image recognition using tensor flow

This algorithm is a convolutional deep neural network used for image recognition. I used the MNIST data set, which is a bunch of images from 0 to 9. As of right now, I have trained this image with ...
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62 views

Evaluating a previously calculated gradient function

I am trying to perform optimization using a surrogate model instead of the real function and for that, I need the gradient of my LSTM model with respect to the input. In this case, I have 3 features ...
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189 views

Distributed TensorFlow | VGG 16

I am trying to develop a VGG 16 model distributed over a single server. I have one available GPU server with 1 CPU and two GPU cards. I have the code to treat them as different servers and implement ...
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269 views

Linear Regression in Tensorflow

I am a machine learning newbie and recently I implemented (or at least tried to implement) a linear regression model in tensorflow. I would love to know how I can improve my code: ...
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37 views

Doing image compression with Neural Network AutoEncoders

I wanted to create an image compressor using Machine Learning and started work on an "AutoEncoder". This is a type of Neural Network which takes in the image and creates a compressed vector form. It ...
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77 views

PPE object detection with tensorflow and opencv with rtsp streams

I am working on an object detection API implemented in Tensorflow 1.14 and OpenCV 4.1, where my task is to recognize personal protection equipment (PPE) worn by workers at various construction site ...
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39 views

TensorFlow regressor to predict probability of winning, given a current score

This is a TensorFlow regressor that tells me that if you get x score, you will have x% to win a game in x game(game is not important). Doing this as a project to learn tensorflow. ...
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617 views

A simple toy ResNet model and its implementation

I want to understand how resnet works also called us residual networks and I understand it better when I code one myself. I tried to find a simple implementation of resnet in the web but most I found ...
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4k views

Code for Training a Handwriting Recognition Model

I just made my machine learning code work a few days ago and I would like to know if there's a way to improve my code. Before I get to the implementation of the tasks at hand, I would like to ...
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71 views

Tensorflow implementation of the Thomson model

I've implemented the Thomson model in Tensorflow and it seems to work very well. I'm repeating some computation by computing the other half of the symmetric distance matrix. I think, for a GPU based ...
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28 views

Converting tensorflow v1 to v2 without compatability.v1

I am in the process of converting this code predictor.py located here to tensorflow v2 with Python 3.7. I want to do this conversion part by part. So from the ...
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47 views

ML text generating code with Python and Tensorflow

I wanted a simple code review for improvement to increase the efficiency of my text generating model. This model is taken from the official TensorFlow site but is being trained on different datasets. ...
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679 views

Simple Self-Organizing Map (SOM) in Tensorflow

I've implemented a self-organising map in Tensorflow's low-level API. After testing with sklearn's Iris data, the results seem correct. I did implement the algorithm also using NumPy before converting ...
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449 views

Principal Component Analysis in Tensorflow

To learn the low-level API of Tensorflow I am trying to implement some traditional machine learning algorithms. The following Python script implements Principal Component Analysis using gradient ...
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765 views

Optimize GPU usage for real-time object detection from camera with TensorFlow GPU and OpenCV

Trying to recognize objects real time using TensorFlow Object Detection API OpenCV using ssd_mobilenet_v1_coco_11_06_2017 model in GPU. ...
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716 views

Implementing Adagrad in Python

I'm trying to implement Adagrad in Python. For learning purposes, I am using matrix factorisation as an example. I'd be using Autograd for computing the gradients. My main question is if the ...
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280 views

Tensorflow model for predicting dice game decisions

For my first ML project I have modeled a dice game called Ten Thousand, or Farkle, depending on who you ask, as a vastly over-engineered solution to a computer player. You can find the complete game, ...
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105 views

Augmented training batch generation using `tensorflow.data`

This is my code for generating augmented training batches in Tensorflow ...
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334 views

Training MLP classifier with TensorFlow on notMNIST dataset

I am new to TensorFlow and I would really appreciate if someone could look at my code to see whether things are done efficiently and suggest improvements. This code works okay and achieves around 91....