How reinforcement learning can help in solving real-world problems?
Reinforcement Learning is a machine learning framework that enables an agent to evaluate the current environment, take optimal action, and get feedback...
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...
Harnessing curiosity in Reinforcement Learning
Reinforcement learning is a specialized area of artificial intelligence where an algorithm applies independent and goal-oriented learning, based on rewards received from...
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...
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...
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...
AI Created in DNA-Based Artificial Neural Networks
According to the recent study, it is evident that the artificial neural network composed of DNA has the ability to understand numbers...