Object detection is one of the areas in Deep Learning where much progress has been made. Using a variety of...
Neural networks thrive on nonlinear data only when nonlinear activation functions are used. The Rectified Linear Unit, or RELU, is...
Long Short-Term Memory networks or LSTMs are Neural Networks that are used in a variety of tasks. Used in Natural...
Long Short-Term Memory (LSTM) based neural networks have played an important role in the field of Natural Language Processing. In...
Deep Learning, the subset of Machine Learning which employs Deep Neural Networks for generating models, can be used for many...
Training a Deep Learning model means that you have to balance between finding a model that works, i.e. that has...
When you are training a Supervised Machine Learning model, you are effectively feeding forward data through the model, comparing the...
Machine Learning models work with numbers. That is, they are mathematical models which improve themselves by performing mathematical optimization. It...
When you are training Machine Learning models, data preprocessing is an important activity. It is sometimes even crucial to the...
Neural networks can be used for a variety of purposes. One of them is what we call multilabel classification: creating...