Neural Networks

AutoKeras Project in Finance – A Guide to build a deep learning model in Python using Loan Approval data

AutoKeras Project in Finance – A Guide to build a deep learning model in Python using Loan Approval data.

Introduction to Neural Networks with Scikit-Learn in Python

Introduction to Neural Networks with Scikit-Learn in Python What is a Neural Network? Humans have an ability to identify patterns within the accessible information with an astonishingly high degree of accuracy. Whenever you see a car or a bicycle you can immediately recognize what they are. This is because we have learned over a period …

TensorFlow Neural Network Tutorial in Python

  TensorFlow Neural Network Tutorial in Python TensorFlow is an open-source library for machine learning applications. It’s the Google Brain’s second generation system, after replacing the close-sourced DistBelief, and is used by Google for both research and production applications. TensorFlow applications can be written in a few languages: Python, Go, Java and C. This post …

Learn Keras by Example – k-Fold Cross-Validating Neural Networks

k-Fold Cross-Validating Neural Networks If we have smaller data it can be useful to benefit from k-fold cross-validation to maximize our ability to evaluate the neural network’s performance. This is possible in Keras because we can “wrap” any neural network such that it can use the evaluation features available in scikit-learn, including k-fold cross-validation. To …