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
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