Artificial Neural Network

  Machine Learning Project development Step 2: Choice of algorithm based on Supervised Learning Algorithm: First step2 : Machine learning project development: Choose an algorithm if the project is coming under supervised learning There are many supervised algorithms. A supervised learning algorithm is divided into regression and classification. If the output is discrete or binary choose the classification algorithm and if it is continuous choose regression. So step 2 is -- Identify whether the problem is coming under regression or classification?. Choose the algorithm accordingly. Different algorithms are used for regression and classification problems. A few of them are listed below. Algorithm for regression analysis 1.        Linear Regression 2.        Decision tree regression 3.        Random Forest 4.        Gradient boosted trees 5. ...

Training and Testing Phase of Neural Network: Training and Testing is an important part of Artificial Neural Network.Inborn baby's biological Neural Network is untrained and unable to recognize  environment.Parents slowly started to train the baby and baby will recognize the things.  Every neural network  it may be Natural or Artificial need to train the network and then test the network.If network is unable to do the task retrain with additional examples.Natural and Artificial neural network need to train . For every Neural Network following are the major steps to build the algorithm: 1. Collection of data          2. Training           3. Testing             4. Validation 5. Performance function