Skip to content

Tag Archives: Deep-Learning

Machine learning tasks have been divided into three categories, depending upon the feedback available: Supervised Learning: These are human builds models based on input and… Read More
This article aims to share some PyTorch functions that will help you a lot in your deep learning and data science journey. Each function will… Read More
Deep Learning is a type of Artificial Intelligence or AI function that tries to imitate or mimic the working principle of a human brain for… Read More
LSTM (Long short term Memory ) is a type of RNN(Recurrent neural network), which is a famous deep learning algorithm that is well suited for… Read More
DNN(Deep neural network) in a machine learning algorithm that is inspired by the way the human brain works. DNN is mainly used as a classification… Read More
GANs is an approach for generative modeling using deep learning methods such as CNN (Convolutional Neural Network). Generative modeling is an unsupervised learning approach that… Read More
Actions on Google (AoG) is the platform for developers to extend the Google Assistant. Using AoG developers can deploy their existing Conversational Agents or build… Read More
Learning Vector Quantization ( or LVQ ) is a type of Artificial Neural Network which also inspired by biological models of neural systems. It is… Read More
Self Organizing Map (or Kohonen Map or SOM) is a type of Artificial Neural Network which is also inspired by biological models of neural systems… Read More
Computer vision means the extraction of information from images, text, videos, etc. Sometimes computer vision tries to mimic human vision. It’s a subset of computer-based… Read More
Convolutional neural networks are very powerful in image classification and recognition tasks. CNN models learn features of the training images with various filters applied at… Read More
Prerequisites: How to use built-in image classifiers of visual recognition module using IBM watson? IBM Watson Visual Recognition is a tool that uses deep learning… Read More
IBM Watson Visual Recognition is a tool that uses deep learning algorithms to analyze images and allow users to automatically identify subjects and objects contained… Read More
This article aims to implement a deep neural network from scratch. We will implement a deep neural network containing a hidden layer with four units… Read More
One of the critical issues while training a neural network on the sample data is Overfitting. When the number of epochs used to train a… Read More