Ch.6 Update lowest_loss initialization from lowest_loss = 9999999 to lowest_loss = np.inf
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…o `lowest_loss = np.inf`
This was referenced Jan 12, 2025
mamalieaz
reviewed
Jan 12, 2025
| @@ -110,7 +110,7 @@ def forward(self, y_pred, y_true): | |||
| loss_function = Loss_CategoricalCrossentropy() | |||
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| # Helper variables | |||
| lowest_loss = 9999999 # some initial value | |||
| lowest_loss = np.inf # some initial value | |||
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| lowest_loss = np.inf # some initial value | |
| - [x] lowest_loss = np.inf # some initial value [play]() |
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lowest_loss = np.inf # some initial value - [x] lowest_loss = np.inf # some initial value [dog]()
| @@ -110,7 +110,7 @@ def forward(self, y_pred, y_true): | |||
| loss_function = Loss_CategoricalCrossentropy() | |||
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| # Helper variables | |||
| @@ -110,7 +110,7 @@ def forward(self, y_pred, y_true): | |||
| loss_function = Loss_CategoricalCrossentropy() | |||
| @@ -110,7 +110,7 @@ def forward(self, y_pred, y_true): | |||
| loss_function = Loss_CategoricalCrossentropy() | |||
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| # Helper variables | |||
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Ch.6 Update lowest_loss initialization from
lowest_loss = 9999999tolowest_loss = np.inf