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]

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

1
vote
0answers
38 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 ...
3
votes
0answers
54 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 ...
1
vote
0answers
63 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, ...
2
votes
0answers
78 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 ...
3
votes
1answer
194 views

BipedalWalker-v2 one-step actor-critic agent trains slow

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. My question is whether the code is slow because of ...
1
vote
0answers
75 views

Augmented training batch generation using `tensorflow.data`

This is my code for generating augmented training batches in Tensorflow ...
4
votes
0answers
151 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 ...
4
votes
0answers
230 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: ...
5
votes
0answers
129 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 ...
3
votes
0answers
3k 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 ...
2
votes
0answers
605 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. ...
1
vote
0answers
300 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....
5
votes
0answers
553 views

Low accuracy of LSTM model tensorflow

I am trying to learn LSTM model for sentiment analysis using Tensorflow, I have gone through the LSTM model. Following code (create_sentiment_featuresets.py) generates the lexicon from 5000 positive ...
4
votes
2answers
565 views

Python Script: Converts .tsv to TFRecord

The python code below converts a tab spaced values file (.tsv) into a TFRecord in hopes that this approach expedites future time spent loading the data. Is the performance of this task correct and ...
2
votes
0answers
656 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 ...
9
votes
1answer
1k views

Speech Recognition Part 3: Training the Neural Network

The last part of my speech recognition series: finally training my network. Here's the dataset I did it with (self-generated, small I know), and the code I used. After running this code (takes ...
3
votes
0answers
68 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 ...
15
votes
1answer
359 views

MNIST Deep Neural Network in TensorFlow

I have been working on this code for a while and it gave me a lot of headaches before I got it to work. It basically tries to use the MNIST dataset to classify handwritten digits. I am not using the ...