Tensorflow Pooling layers in Convolutional Neural Network

Poling Layer is always succeed the Convolution Layer post activation function like in example shown below: Now lets understand why ...

Introduction to Tensor

What is Tensor? In layman's terms, a tensor is a way of representing the data in deep learning. A tensor ...

TensorFlow: Constants, Placeholders and Variables in TF 1.x and TF 2.x

In TensorFlow, every line of code that you write has to go through a computational graph. You'll find that when ...

Tensorflow Image Recognition with Object Detection API

TensorFlow can help you build neural network models to automatically recognize images. These are typically Convolutional Neural Networks (CNN). There ...

How to work with CNN Max Pooling Layers in TensorFlow

TensorFlow provides powerful tools for building, customizing and optimizing Convolutional Neural Networks (CNN) used to classify and understand image data. ...

Building Faster R-CNN on TensorFlow

The widespread adoption of Convolutional Neural Networks (CNNs) has driven progress in deep learning for computer vision, and especially in object ...

Does TensorFlow Support OpenCL ?

OpenCL is an open standard that is designed to utilize the computing power provided by GPUs for general computing applications. ...

TensorFlow Distributed Training

Large-scale deep learning models take a long time to run and can benefit from distributing the work across multiple resources. ...

TensorFlow Docker

Containers help improve security, reproducibility, and scalability in software development, data science, and deep learning. Using containers is an excellent ...