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

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This course includes

3.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

deep learning deep learning load data deep learning train model deep learning train test split pytorch deep learning pytorch deep learning train test split pytorch deep learning neural network neural network neural network train test split training neural network in deep learning codemy.com john elder

Full Transcript

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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