02 Basics What is linear classification Whats the relation to neural networks/005 Linear Classification.mp4 7.9 MB
01 Start Here/001 Introduction and Outline.mp4 7.9 MB
02 Basics What is linear classification Whats the relation to neural networks/007 How do we calculate the output of a neuron logistic classifier - Theory.mp4 7.8 MB
03 Solving for the optimal weights/018 Updating the weights using gradient descent - Code.mp4 7.6 MB
03 Solving for the optimal weights/012 What do all these symbols mean X Y N D L J PY1X etc..mp4 6.7 MB
04 Practical concerns/020 Interpreting the Weights.mp4 6.6 MB
02 Basics What is linear classification Whats the relation to neural networks/008 How do we calculate the output of a neuron logistic classifier - Code.mp4 6.1 MB
02 Basics What is linear classification Whats the relation to neural networks/010 E-Commerce Course Project Making Predictions.mp4 6.0 MB
03 Solving for the optimal weights/015 Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4 5.5 MB
05 Checkpoint and applications How to make sure you know your stuff/030 BONUS Exercises how to get good at this.mp4 5.5 MB
04 Practical concerns/025 L1 vs L2 Regularization.mp4 5.0 MB
03 Solving for the optimal weights/013 The cross-entropy error function - Theory.mp4 4.7 MB