Channel: Welch Labs

Category: Travel & Events

Tags: artificial neural networkcomputerpython (programming language)neural network (field of study)machine learning (software genre)mathtechnologynumerical analysis (field of study)

Description: When building complex systems like neural networks, checking portions of your work can save hours of headache. Here we'll check our gradient computations. Supporting code: github.com/stephencwelch/Neural-Networks-Demystified Link to excellent Stanford tutorial: ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial In this series, we will build and train a complete Artificial Neural Network in python. New videos every other friday. Part 1: Data + Architecture Part 2: Forward Propagation Part 3: Gradient Descent Part 4: Backpropagation Part 5: Numerical Gradient Checking Part 6: Training Part 7: Overfitting, Testing, and Regularization @stephencwelch