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Types of Loss Functions in Deep Learning explained with Keras. | by Tripathi Aditya Prakash | Dev Genius
![How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com](https://machinelearningmastery.com/wp-content/uploads/2018/11/Line-plots-of-Mean-Squared-Logistic-Error-Loss-and-Mean-Squared-Error-over-Training-Epochs.png)
How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com
![A Guide to Neural Network Loss Functions with Applications in Keras | by Andre Ye | Towards Data Science A Guide to Neural Network Loss Functions with Applications in Keras | by Andre Ye | Towards Data Science](https://i.stack.imgur.com/Ifeze.png)
A Guide to Neural Network Loss Functions with Applications in Keras | by Andre Ye | Towards Data Science
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Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation - ScienceDirect
GitHub - JHart96/keras_ordinal_categorical_crossentropy: Keras implementation of a loss function for ordinal categorical crossentropy.
![Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names](https://gombru.github.io/assets/cross_entropy_loss/intro.png)
Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names
![How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com](https://machinelearningmastery.com/wp-content/uploads/2018/11/Line-plots-of-Mean-Absolute-Error-Loss-and-Mean-Squared-Error-over-Training-Epochs.png)
How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com
Santiago on Twitter: "The loss is categorical cross-entropy. In English: we want to predict a single class for each image. By adding "accuracy" to the metrics, the training process will record the
![Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names](https://gombru.github.io/assets/cross_entropy_loss/softmax_CE_pipeline.png)
Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names
![A Guide to Neural Network Loss Functions with Applications in Keras | by Andre Ye | Towards Data Science A Guide to Neural Network Loss Functions with Applications in Keras | by Andre Ye | Towards Data Science](https://miro.medium.com/v2/resize:fit:1070/0*A1JmEFw_oBzVpCmV.png)