Yasiru Raveen·Sep 6Building a Neural Network Using Numpy: Part 2Here is the link for part 1 if you didn’t read it.
Sathwik Pinninti·Jun 24Softmax regression: Building a Clinical Triage Classifier from scratchBuilding on my previous deep dives, I’m unboxing the next algorithm my list: Softmax Regression.
AmeerSaleem·Aug 10, 2025Cross-entropy loss for ML classification modelsHow to measure model performance with loss functions.A response icon1A response icon1
Nandeda Narayan·Jul 4, 2025Understanding Cross-Entropy Loss: Categorical vs. Binary and Its Relation to Log LossIn the world of machine learning, especially when dealing with classification problems, “loss functions” are crucial. They quantify how…
InCodeXbyFrancesco Franco·Feb 11, 2025Binary and Categorical Cross-entropy with KerasRecently, I’ve been covering many of the deep learning loss functions that can be used and converting them into actual Python code with the…
Abhishek Jain·Jan 27, 2025Binary and categorical Cross Entropy LossWhat Is Cross-Entropy Loss?A response icon1A response icon1
Vantakula Satya kiran·Jan 25, 2025Different Loss functions used in Classification tasks.It is one of the most commonly used loss functions in deep learning for multi-class classification problems to measure the difference….
Yashwanth S·Oct 15, 2024Deep Learning Series 03 :- Loss FunctionsLoss Functions play a pivotal role in guiding the training process. They are the metrics used to quantify how well a model’s predictions…
InTDS ArchivebyGabriel Furnieles·Dec 5, 2022Why do We use Cross-entropy in Deep Learning — Part 2Explanation of one of the most widely used loss functions in Artificial Neural Networks.
