TensorFlow Basics

TensorFlow is a machine learning framework and developed by Google Brain Team. It is derived from its core framework: Tensor. In TensorFlow, all the computations involve tensors. A tensor is a vector or a matrix of n-dimensions which represents the types of data. All the values in a TensorFlow identify data type with a known shape. The… Continue reading TensorFlow Basics

Architecture of TensorFlow

The TensorFlow runtime is a cross-platform library. The system architecture which makes this combination of scale flexible. We have basic familiarity with TensorFlow programming concepts such as the computation graph, operations, and sessions. Some terms need to be understood first to understand TensorFlow architecture. The terms are TensorFlow Servable, servable Streams, TensorFlow Models, Loaders, Sources,… Continue reading Architecture of TensorFlow

What is TensorFlow?

TensorFlow is a popular framework of machine learning and deep learning. It is a free and open-source library which is released on 9 November 2015 and developed by Google Brain Team. It is entirely based on Python programming language and use for numerical computation and data flow, which makes machine learning faster and easier. TensorFlow can train and run the deep neural networks for image recognition,… Continue reading What is TensorFlow?

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