digit-classifier | single handwritten digit classifier | Machine Learning library
kandi X-RAY | digit-classifier Summary
kandi X-RAY | digit-classifier Summary
An implementation of multilayer neural network using numpy library. The implementation is a modified version of Michael Nielsen’s implementation in [Neural Networks and Deep Learning] book.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Fit the model
- Backpropagate
- Validate the prediction
- Predict the value of x
- Forward propagation
- Calculate softmax
- Load the MNIST dataset
- Return vectorized result
- Saves the model
- Return sigmoid
- Returns the sigmoid function
- Calculate tanh prime function
- tanh
digit-classifier Key Features
digit-classifier Examples and Code Snippets
Community Discussions
Trending Discussions on digit-classifier
QUESTION
I used this site as a reference https://www.r-bloggers.com/2021/02/how-to-build-a-handwritten-digit-classifier-with-r-and-random-forests/
to write a handwritten digit classifier using R with random forests.
Is it possible to build a plot of the colMeans obtained at the end of the code? The MNIST train and test datasets (that you can find in the link above) don't have any column headings. I'm new to R and still learning. Any kind of help would be greatly appreciated.
Here's the code:
...ANSWER
Answered 2021-Feb-16 at 16:50I slightly modified your code by subsetting quite a bit both the train and test set to speed up the analysis. You are free to comment/delete the related lines. Please have a look at the code below and tell me if this is what you are looking for.
QUESTION
After Clone the TensorFlow examples GitHub repository to get the demo application I got some errors.
I am using tensorflow for digit-classifier project and I got this error during making digit-classifier project (Tensorflow-lite).
Thanks is advanced for any help.
Build gradle:
...ANSWER
Answered 2019-Oct-10 at 05:25When you clone the project from this address:
https://github.com/tensorflow/examples/tree/master/lite/examples/digit_classifier/android
unfortunately it has a file as an assets in order to a folder, then the problem raised.
just I create an assets folder and remove the assets file.
works fine!
QUESTION
Here is a toy model. I print the model parameters before calling backward exactly once, then print the model parameters again. The parameters are unchanged. If I add the line model:updateParameters() after calling backward, I see the parameters update.
But in the example code I've seen, for example https://github.com/torch/demos/blob/master/train-a-digit-classifier/train-on-mnist.lua, no one actually calls updateParameters. Also, it doesn't look like optim.sgd, optim.adam, or nn.StochasticGradient ever call updateParameters either. What am I missing here? How do the parameters get updated automatically? If I must call updateParameters, why do no examples do that?
ANSWER
Answered 2017-Aug-24 at 04:23The backward() is not supposed to change parameters, it merely computes the derivatives of the error function with respect to all of the parameters of the network.
In general the training is the sequence of the steps:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install digit-classifier
You can use digit-classifier like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
