Activation Functions in TensorFlow

Perceptron is a simple algorithm which, given an input vector x of m values (x1, x2, …, xm), outputs either…

Working with Matrices in TensorFlow

Matrices are the basic elements we use to interchange data through computational graphs. In general terms, a tensor can de…

Usually, when we start using TensorFlow, it’s very common to think that defining variables is just as trivial as a…

[Requirement: Tensorflow and NumPy installed on Python +3.5] [Requirement: import tensorflow as tf] [Requirement: import numpy as np] Tensors are…

First, let’s define what a stream is in Java 8: a sequence of functions, actions, inputs, and outputs (better defined…

BACKGROUND Usually many of us graduates from college have dreamed of working in a large company with great salary, prestige…

This is my second video on gRPC, this time I was experiencing Node.js to make an app communicate with a…

When we are developing web solutions consisting of several projects, it is very common communicate between each other, and the common…

In one of my latest developments I needed to have a local Redis for caching requirements. I feel comfortable on…

Now, we continue with the series ASP.NET Core Basics. At this time we are been focused in MVC specific topics, which…