Parameter tuning is one of the toughest task in major Machine Learning model. Sometimes it work with a hit and trial method and sometimes need a lot to think to make the model work better. In this tutorial I will show how changing the parameters directly affect the accuracy of Neural Network. You might see the parameters that affect the accuracy.
Factors affecting the accuracy of Neural Network
There are several parameters on which the accuracy of Machine Learning model depends. Parameters here are not weights, you will see important parameters below. In this tutorial I will share the parameters that directly affect the accuracy of any major Machine Learning model.
L2 and Dropout Regularization in Neural Network Classification
Overfitting has been one of the most common problems you will face while performing any machine learning technique. To overcome this we have two regularization techniques L2 and Dropout. We will see the accuracy comparison with and without the regularization.
Classification of hand written letters or digits using Neural Network
So far we have learned how to run a simple tensorflow example in python. Today I will discuss the classification problem of hand written letters or digits using Neural Network with a single hidden layer. Will also show accuracy comparison between logistic regression and neural network.
TensorFlow Basic Easy Example in Python
We discussed an easy few lines of code in python in the last tutorial, in this article I will explain the basics of tensorflow functions that we covered in the code, and how it works and how to use some basic operations like the addition, subtraction or multiplication.
Lets get start with TensorFlow
If you are interested in Machine or Deep Learning then you are at the right place. Today I am going to share the basic, setup, guide and use of TensorFlow with all respective references that you need to know.
- Lets get start with TensorFlow
- Understanding Text Corpus using Word2Vec (Skip Gram Model) - Tutorial
- Introducing Convolutional Neural Networks
- Classification of hand written letters or digits using Neural Network
- Transposed ConvNets Tutorial (Deconvolution)
- Recurrent Neural Networks (LSTM) Tutorial
- Bigram Based LSTM with Regularization
- TensorFlow Basic Easy Example in Python
- Increasing Performance using Multi-Layer LSTM
- L2 and Dropout Regularization in Neural Network Classification
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