Neural Network Hello World – Create your first network with Keras
Till now we have seen basics on NN’s and at this stage we can create our first Neural Network
Neural Network – Loss
Let’s look at loss function with Keras in detail and implement it in our neural network
Neural Network -Optimizer
We have seen earlier the entire purpose of to optimize weights so as to reduce loss. Let’s see in detail different optimization functions we can use with neural networks
Neural Network – Softmax Activation
Softmax is a special kind of activation function which use mostly used as the last layer. The final output of an NN needs to be human understandable so in the output we would need to be able to get probabilities in case of multi classifier problem.
Neural Network – Activation Function
In this post we look deep into activation function.
Neural Network – Layers
In these series of blog posts we will look in detailed implementation of neural networks using Keras and also more deeply understand how neural networks work.
Logistic Regression
In this post we will see about logistic regression, this post is in continuation of liner regression which we saw before. Make sure to read the previous post in detail before reading this.
Linear Regression
In this post we will see what exactly is linear regression and it will help us better understand NN’s. This post can be skipped, but i think it provides a good foundation for understanding NN’s
Neural Networks – Basic Understanding
In this post we will understand how neural networks work in detail. This post will be theoretical but i believe its important to understand NN’s before we actually start coding.