Month: April 2022

TensorFlow Tutorial

TensorFlow tutorial is designed for both beginners and professionals. Our tutorial provides all the basic and advanced concept of machine learning and deep learning concept such as deep neural network, image processing and sentiment analysis. TensorFlow is one of the famous deep learning framework, developed by Google Team. It is a free and open source software library… Continue reading TensorFlow Tutorial

Workflow of Data Analytics

“Numbers have a compelling tale to share. They trust our ability to provide them with an authoritative and clear voice.” Stephen Few Raw data aggregated is data that is not oriented. It requires a thoughtful understanding as well as the appropriate questions in order to create sense out of it. Many insights fail to analyse… Continue reading Workflow of Data Analytics

Powerful Data Collection Tools in Healthcare

Data collection via various tools is one of the major ways healthcare professionals gain new information. As time passes, the data collection process has increased its capabilities to help solve the most critical areas of concern and develop practical solutions for healthcare IT. This approach to solving problems is the main reason for the growth… Continue reading Powerful Data Collection Tools in Healthcare

Data Mesh – Rethinking Enterprise Data Architecture

In this age of world, where self-service business intelligence is ruling the field, every business tries to establish itself as an information-driven business. Many businesses are aware of the numerous benefits realized through leverage to make informed decisions. It is the ability to offer customers superior, highly personalized services while also reducing costs and capital… Continue reading Data Mesh – Rethinking Enterprise Data Architecture

PyTorch vs. TensorFlow

It is required to understand the difference between the PyTorch and TensorFlow for starting a new project. Libraries play a crucial role when developers decide to work in deep learning or machine learning researches. According to a survey, there are 1,616 ML developers and data scientists who are using PyTorch and 3.4 ML developers who are using TensorFlow. We… Continue reading PyTorch vs. TensorFlow

PyTorch Basics

It is essential to understand all the basic concepts which are required to work with PyTorch. PyTorch is completely based on Tensors. Tensor has operations to perform. Apart from these, there are lots of other concepts which are required to perform the task. Now, understand all the concepts one by one to gain deep knowledge… Continue reading PyTorch Basics

torch.nn in PyTorch

PyTorch provides the torch.nn module to help us in creating and training of the neural network. We will first train the basic neural network on the MNIST dataset without using any features from these models. We will use only the basic PyTorch tensor functionality and then we will incrementally add one feature from torch.nn at… Continue reading torch.nn in PyTorch

PyTorch Packages

PyTorch is an optimized tensor library for deep learning using CPUs and GPUs. PyTorch has a rich set of packages which are used to perform deep learning concepts. These packages help us in optimization, conversion, and loss calculation, etc. Let’s get a brief knowledge of these packages. S.No Name Description 1. Torch The torch package… Continue reading PyTorch Packages

Installation of PyTorch

For installation, first, you have to choose your preference and then run the install command. You can start installation locally or with a cloud partner. In the below diagram, Stable shows the most currently supported and tested version of PyTorch (1.1), which is suitable for many users. If you want the latest 1.1 builds but… Continue reading Installation of PyTorch