I am using this classification example by jeff heaton:
I am trying to find out what kind of learning algorithm and how many hidden layers will be used in this example. I couldn't figure this out.
Feedforward network using backpropagation in Encog
648 views Asked by Benaissa Tahiti At
1
There are 1 answers
Related Questions in JAVA
- Python: Calculating the growth rate over a year when the dates aren't the same
- Python TypeError: argument to string formatting
- How to make a jump difussion graphic
- Using R to download file from https with login credentials
- Error in "Quandl" while pulling data for commodity in R
- Showing amount with currency
- Quandl - Converting JSON data into data frame uisng R
- How to get company website from a finance ticker (stock symbol)?
- Error while retrieving Volume data from Yahoo
- Pandas: use of aggregate with a MultiIndex
Related Questions in NEURAL-NETWORK
- Python: Calculating the growth rate over a year when the dates aren't the same
- Python TypeError: argument to string formatting
- How to make a jump difussion graphic
- Using R to download file from https with login credentials
- Error in "Quandl" while pulling data for commodity in R
- Showing amount with currency
- Quandl - Converting JSON data into data frame uisng R
- How to get company website from a finance ticker (stock symbol)?
- Error while retrieving Volume data from Yahoo
- Pandas: use of aggregate with a MultiIndex
Related Questions in BACKPROPAGATION
- Python: Calculating the growth rate over a year when the dates aren't the same
- Python TypeError: argument to string formatting
- How to make a jump difussion graphic
- Using R to download file from https with login credentials
- Error in "Quandl" while pulling data for commodity in R
- Showing amount with currency
- Quandl - Converting JSON data into data frame uisng R
- How to get company website from a finance ticker (stock symbol)?
- Error while retrieving Volume data from Yahoo
- Pandas: use of aggregate with a MultiIndex
Related Questions in ENCOG
- Python: Calculating the growth rate over a year when the dates aren't the same
- Python TypeError: argument to string formatting
- How to make a jump difussion graphic
- Using R to download file from https with login credentials
- Error in "Quandl" while pulling data for commodity in R
- Showing amount with currency
- Quandl - Converting JSON data into data frame uisng R
- How to get company website from a finance ticker (stock symbol)?
- Error while retrieving Volume data from Yahoo
- Pandas: use of aggregate with a MultiIndex
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
Popular Tags
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
For a learning algorithm I would suggest using RPRop, it is one of the most general purpose algorithms provided by Encog. You can also try Levenberg Marquardt, but it does not scale as well with large data sets.
Hidden layers are essentially hyper-parameters, and finding the the right set could take some trial and error. I suggest a single hidden layer with (num_inputs + num_outputs) * 1.5. This is just a starting point, you can increase or decrease as needed.