## Activation Functions in TensorFlow

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

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# Month: October 2017

## 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

## Understanding Variables and Placeholders in TensorFlow

## Declaring tensors in TensorFlow

software developer & machine learning engineer

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