8 Commits

Author	SHA1	Message	Date
Palash Tyagi	de18d8e010	applied formatting	2025-07-12 00:56:09 +01:00
Palash Tyagi	37c0d312e5	Add tests for activation functions, initializers, and loss gradient in DenseNN	2025-07-10 23:47:36 +01:00
Palash Tyagi	87d14bbf5f	Moved activations module and update imports in dense_nn and logreg	2025-07-06 23:50:32 +01:00
Palash Tyagi	96f434bf94	Add tests for DenseNN training and MSE loss calculation	2025-07-06 20:48:04 +01:00
Palash Tyagi	46abeb12a7	applied formatting	2025-07-06 20:43:01 +01:00
Palash Tyagi	75d07371b2	Increase training epochs from 5000 to 10000 for improved model performance	2025-07-06 20:16:06 +01:00
Palash Tyagi	261d0d7007	Refactor DenseNN implementation to enhance activation function handling and improve training process	2025-07-06 20:03:16 +01:00
Palash Tyagi	b1b7e63fea	Add Dense Neural Network implementation with forward and training methods	2025-07-06 17:42:08 +01:00