Tensors: The building block of TensorFlow

TensorFlow uses tensor to define the framework and processing data. A tensor conceptualized multidimensions vectors and matrices. Mathematically, a tensor is a geometric object...

The Main Aspects Of TensorFlow (Machine Learning)

TensorFlow is a machine learning framework that's completely changing the industry. If you are a developer and you are interested in learning more about...

Do you want to become a Machine Learning Engineer?

AI is a trending field because of the enthusiasm towards human-computer interaction. Today, technology is focused on convenience; machines are designed in a way...

R k-means clustering and evaluation of the model

The k-means clustering algorithms aim at partitioning n observations into a fixed number of k clusters. The algorithm will find homogeneous clusters. It works...

Programming languages for Machine learning : R

From C++ to C– we have (in 2018) more than 250 programming languages and many more will emerge but which one is best suited...

Built Artificial Neural Network in Three Lines using Sklearn

In the tutorial, we learn how to built ANN using Sklearn python library. For this example, we classify input data as an array of...

Regression using Tensorflow and partition of data for robust validation.

Again in the tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into three slices, Training, Testing,...
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