Support Vector Machine (SVM) Algorithm

Introduction Support Vector Machine (SVM) is a supervised machine learning algorithm. These are a set of supervised learning methods used for classification, regression, and outliers detection. But, it is generally used in classification problems. We plot each data item as a point in n-dimensional space in the SVM algorithm. Where n is a number of […]

Encoder-Decoder Sequence-to-Sequence Models

Introduction Encoder-Decoder Sequence-to-Sequence Models are famous for diverse tasks. These models are a distinctive class of Recurrent Neural Network architectures. We often use them to solve complex Language problems. For example; Machine translation Video captioning Image captioning Question answering Creating Chatbots Text Summarization In this article, we will discuss how an RNN can be trained […]

Backpropagation Algorithm

Introduction The backpropagation Algorithm is broadly used in machine learning. This algorithm is greatly used for training feed-forward neural networks. It permits the information from the cost to then flow backward through the network, acceptable to compute the gradient. Backpropagation is the core of neural network training. It is the way of adjusting the weights […]

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