How Generative Adversarial Networks (GANs) work?

Generative Adversarial Networks were first introduced in 2014 in a research paper. They have also been called  “the most interesting idea in...

Berkeley using a new deep learning program to assess risk of suicide amongst veterans

Identifying patterns of risk within patients often involves a massive amount of data interpretation and algorithmic examination. New computer resources through Berkeley...

Neural Networks: Advantages and Applications

A human brain is not capable of solving complex data and cannot extract information from compound structures. To overcome this lack of...

Top Artificial Intelligence Influencers To Follow in 2019

Yoshua Bengio: Yoshua BengioOCFRSC (born 1964 in Paris, France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep...

Top Machine Learning APIs That You Should Know

Here is a list of some of the important machine learning APIs for you to use. PREDICTION BASED

Regression using Tensorflow and multiple distinctive attributes

As we did in the previous tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into...

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,...

14 Great Articles To Read About TensorFlow

First Steps with TensorFlow: ToolkitGoogle + open-source = TensorFlow 9 Things You Should Know About TensorFlowDeep Learning with TensorFlow in Python TensorFlow Tutorial For...

Regression using Tensorflow and Gradient descent optimizer

Gradient descent is the most popular optimization algorithm, used in machine learning and deep learning. Gradient descent is iterative optimization algorithm for...

Artificial Intelligence – A Bitter-Sweet Symphony in Modelling

We have seen tremendous progress by artificial intelligence (AI) over the past decades. This progress, however, was not achieved steadily. There were...