Data Science
Improving Neural Networks with PyTorch
This course walks learners through improving a weak neural network using techniques specific to deep learning, including dropout, early stopping, and batch normalization.
Python
PyTorch
4 lessons
16 practices
1 hour
Deep Learning and Neural Networks
Course details
Training and Evaluating a Simple Neural Network in PyTorch
Learning Rate Impact on Training
Building a Neural Network from Scratch
Implementing Model Evaluation During Training
Detecting Overfitting in Neural Networks
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