Tag: Tensorflow

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

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

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

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

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

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

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

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

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

TensorFlow lets you use deep learning techniques to perform image segmentation, a crucial part of computer vision. There are many ...