Load Data and Train Neural Network Model - Deep Learning with PyTorch 6

In this video we'll import the iris dataset and Train our Model! We'll import the iris dataset as a CSV file, and then tweak the last column a bit. Then we'll set up a Train/Test/Split and start to train the model using SKLearn and Pytorch. #pytorch #codemy #JohnElder Timecodes 0:00​​ - Introduction 0:51 - Import Matplot and Pandas 1:35 - Import our Iris Data 3:02 - Check DataFrame 3:31 - Change Last Column To Numbers 4:51 - Set X and y 5:51 - Convert X and y to Numpy Arrays 6:22 - Import SciKitLearn 6:45 - Train Test Split 8:14 - Convert To Tensors 9:56 - Set Criterion and Optimizer 13:38 - Train Our Model 16:28 - Keep Track of Losses 17:18 - Print Epochs and Losses 18:00 - Back Propagation 19:16 - Run The Training! 19:56 - Graph The Losses 21:55 - Conclusion