TensorFlow is an open-source machine learning framework developed by Google. It relies upon Tensors (multi-dimensional arrays) which empower a wide range of API to develop machine learning applications, primarily deep neural networks. TensorFlow is commonly used in machine learning practice,…
Programming a simple neural network
Though neural networks were considered to be of little use for a long time, the recent development of computing power and database size has proven otherwise. Since the revolution of machine learning in the last few years has been primarily driven…
Programming Artificial Intelligence 101
Programming Language Though several programming languages can be used to develop Artificial Intelligence applications, the language that is most often used and advised to use is Python, because it is a general purpose language designed for readability. Learning Python Documentation…
24. Reviews and Exercises
In this post are gathered the tutorials and exercises, called “mega-recitations”, to apply the concepts presented in the Artificial Intelligence course of Prof. Patrick Winston.
23. Model Merging, Cross-Modal Coupling, Course Summary
Bayesian Story Merging By using the probability model discovery previously studied, certain concepts and ideas can be analyzed and merged if similar. Cross-Modal Coupling By analyzing the correspondences between clusters of two sets of data, certain data subsets regular correspondences…