20 Cool Machine Learning and Data Science Concepts (Simple Definitions)
Hello everyone, as you know, I’m Kindson The Genius. I would like to share with you these 20 cool Machine Learning and Data Science Concept …
Hello everyone, as you know, I’m Kindson The Genius. I would like to share with you these 20 cool Machine Learning and Data Science Concept …
I still cry when I remember what I lost in the in Nigeria couple of months before I relocated to Budapest. It’s a very long …
This would be a very easy explanation of the concept of TensorFlow. As you know, I’m Kindson the Genius Sometimes, very simple terms may appear …
I have made a list of the best 20 easy lessons of various topic of Machine Learning, Pattern Recognition and Artificial Intelligence. Watch the Machine …
Activation Functions play a very important role in Neural Network so understanding them is key to getting a clearer understanding on how neural networks work. …
1. PARADIGMS OF LEARNING Interpretation of ProbabilityProbability expresses uncertainty that an even may or may not occur and is a key concept in pattern recognition.Lets …
Backpropagation is the learning algorithm used in neural networks and is a generalization of the least mean squares algorithm used in linear perceptron. Backpropagation requires …
Today we will understand the concept of Multilayer Perceptron. Recap of Perceptron You already know that the basic unit of a neural network is a …
In this lesson, we would examine the learning process in Neural Networks. Remember that a neural network is a classifier that could learn from a …
Watch the Video Lesson Here: Basic of Neural Networks, clearly explained. Concept of Neural Networks is not that difficult to understand by an average person …
You need to have basic knowledge of AI. You don’t have to be a Tech Pro like me to understand the principles of AI. So, …