Images, Noise and Filters Though images are generally associated with vision and perception, it can also be understood as a function in the field of computer science. machine-learning computer-vision image-processing udacity

What is Computer Vision? The goal of computer vision is to write computer programs that can interpret images. machine-learning computer-vision image-processing udacity

Understanding TensorFlow TensorFlow is an open source, data flow graph based, numerical computation library. Nodes in the graph represent mathematical operations, while edges represent the multidimensional data arrays communicated between them. machine-learning tensorflow library

Neural Networks: Cost Function and Backpropagation Intuition behind the idea of backpropagation and its extension to calculate cost function machine-learning andrew-ng

Neural Networks Intuition The relationship between logistic regression and neural networks. Explaination about how neural network is the logical successor of logistic regression machine-learning andrew-ng

Neural Networks Theory An Artificial Neural Network is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information machine-learning andrew-ng

Non-linear Hypotheses Advantages of neural networks over logistic regession and the relationship between the two. Neural network is essentially the successor of logistic regression. machine-learning andrew-ng

Regularized Logistic Regression Regularization is a process of introducing additional information in order to solve an ill-posed problem or to prevent overfitting machine-learning andrew-ng

Basics of Language Model Language modeling is used in speech recognition, machine translation, part-of-speech tagging, parsing, handwriting recognition, information retrieval and other applications. NLP machine-learning