In this post we will understand basic concepts of word2vec and see how to implement and use it.
When we are working with ML, we are most of the time working with vectors in higher dimensions. This makes it very difficult to actually visualize and view data. Above are few of the methods which we can use to visualize data.
In this blog post let’s see in details what is TD-IDF
In this blog post we will understand bag of words model and see its implementation in detail as well
Word embedding is a very important concept in NLP. Its very important to understand what is it and what it is used for.
NLP NLP is a branch of machine learning which mainly deals with text language and making it able for a system to understand human language. We look into libraries like spacy, nltk and scikit-learn and implement some basic things used with NLP.
Till now we have seen basics on NN’s and at this stage we can create our first Neural Network
Let’s look at loss function with Keras in detail and implement it in our neural network
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