About TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning.
Related resources for TensorFlow
  • A Complete Python TensorFlow Tutorial6/22/2020 5:12:43 AM. This is the eighth tutorial in the series. In this tutorial, we will be studying about Tensorflow and its functionalities. TensorFlow is a free and open-source software library for dataflow and differ
  • Understanding K-Means Clustering using Python the easy way4/9/2020 12:23:13 AM. K-means clustering is a simple unsupervised learning algorithm that is used to solve clustering problems. It follows a simple procedure of classifying a given data set into a number of clusters, defin
  • Naive Bayes using Python- A Beginner's Tutorial3/10/2020 4:19:27 AM. Naïve Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naïve) independence assumptions between the features. T
  • Image Recognition Using TensorFlow And Raspberry Pi2/25/2020 8:42:18 AM. In this article, you will learn how to instali TensorFlow on raspberry pi and recognizing some images.
  • What Is New In TensorFlow 2.01/23/2020 10:25:49 AM. TensorFlow is Google's open source machine learning framework. Lean what is new in TensorFlow 2.0
  • Implementation of Decision Trees In Python1/22/2020 5:14:42 PM. Learn basics of decisions trees and their roles in computer algorithms and how decision trees are used in Python and machine learning.
  • KNN- K-Nearest Neighbors using Python12/25/2019 11:03:33 PM. The k-nearest neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used to solve both classification and regression problems. It's easy to implement and underst
  • Logistic Regression using Python12/25/2019 10:41:08 PM. Logistic regression is a statistical model that in its basic form uses a logistic function to model a binary dependent variable, although many more complex extensions exist. In regression analysis, lo
  • Understanding Linear Regression using Python12/25/2019 10:33:18 PM. In statistics, linear regression is a linear approach to modeling the relationship between a scalar response and one or more explanatory variables. The case of one explanatory variable is called a sim
  • Multiple Linear Regression using Python12/25/2019 10:26:30 PM. Multiple linear regression (MLR), also known simply as multiple regression, is a statistical technique that uses several explanatory variables to predict the outcome of a response variable. In this ar
  • Best Python Machine Learning Libraries 12/11/2019 8:12:10 AM. Python and machine learning go hand and hand. Here is a list of most popular machine learning libraries for Python.
  • Image Classification In ASP.NET Core Using ML.NET9/5/2019 10:17:53 AM. In this article, we'll learn how ML.NET framework is used to consume the pre-trained Image Classification TensorFlow Model using ML.NET API and integrate them into ASP.NET Core MVC applications.
  • What Is TensorFlow.js1/15/2019 12:16:45 PM. Learn what TensorFlow.js is all about and how it is useful in running machine learning models in a web browser using JavaScript.