Jaewan-Yun / Optimizer Visualization
Licence: mit
Visualize Tensorflow's optimizers.
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optimizer-visualization
Visualize gradient descent optimization algorithms in Tensorflow.
All methods start at the same location, specified by two variables. Both x and y variables are improved by the following Optimizers:
For an overview of each gradient descent optimization algorithms, visit this helpful resource.
Numbers in figure legend indicate learning rate, specific to each Optimizer.
Note the optimizers' behavior when gradient is steep.
Note the optimizers' behavior when initial gradient is miniscule.
Inspired by the following GIFs:
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