{"id":20041737,"url":"https://github.com/ajithvcoder/building_custom_loss_functions","last_synced_at":"2026-03-04T18:31:23.004Z","repository":{"id":111986335,"uuid":"323242047","full_name":"ajithvcoder/Building_Custom_loss_functions","owner":"ajithvcoder","description":"This repo will contain detailed and more visualized tutorials on writing custom loss functions. 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Scope will be ranging from basic neural networks to RL. it will also explain about existing loss function with SOTA results.\n\n(We will have visuvalized graphs, explanation for why we used a particular loss function, explanations for why our custom loss function is working well. Also corresponding visuvalizable results will be shared.)\nFollowing will be covered:\n\nClassification-\n- Normal CNN layers networks\n- Resnet, Densenet\n\nDetection\n- Yolo\n- SSD, Mobilenet\n\nTracking \n- Deepsort+Yolo\n\nOthers\n- 4 GAN Models\n- 1 R-CNN model\n\nRL - Single Agent\n- DQN Model\n- DDPG model\n- TD3 model\n\nRL - Multi Agent\n- DQN Model\n- DDPG model\n- TD3 model\n\nIn case if above is finished we would proceed with building custom RL - Single agent and RL-Multi agent environments in next repo.\n\nCompletion of this would take a person from Beginer level DL programmer to intermediate level DL and RL programmer for sure.\n\nTime lines:\n\nEstimated start of project: After completeion of GANs repo\n\nEstimated duration - 4 months to 5 months","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajithvcoder%2Fbuilding_custom_loss_functions","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fajithvcoder%2Fbuilding_custom_loss_functions","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajithvcoder%2Fbuilding_custom_loss_functions/lists"}