Replit agent (#5)

* Initial commit

* Checkpoint after starting plan

* Checkpoint after starting plan

* Agent query: Is the Flask application running and can you access the main page with the neural network interface?

* Agent query: Is the Flask application running and can you access the main page with the neural network interface?

* Agent query: I've set up the core neural network components and started implementing the training infrastructure. Before I continue with the configuration setup, would you like to review what's been done so far or should I proceed with implementing the training configuration?

* Agent query: I've successfully started the training process and it's showing proper initialization with an initial loss of 2.3026. Would you like me to continue with this setup or would you prefer to adjust any parameters before we proceed further?

* Agent query: I've enhanced the training progress display with more detailed metrics and progress tracking. Are you able to see the training logs now? If not, I can try a different approach to make the progress more visible.

* Agent query: I've done a thorough search of the workspace and found several duplicate implementations we should consolidate:
- Two versions of neural network code (in src/models/)
- Multiple threshold implementations
- Duplicate analyzer files

The training is progressing well (currently at 97.88% accuracy). Should I continue with the training, or would you like me to focus on consolidating these duplicate files first?

* Agent query: I notice the training process is running but I'm not seeing the progress logs. Would you like me to restart the training with verbose logging enabled, or should we continue with the current run?

---------

Co-authored-by: recodxxx <24839987-recodxxx@users.noreply.replit.com>

Author: redx94

.replit

@@ -0,0 +1,33 @@
+modules = ["python-3.11"]
+
+[nix]
+channel = "stable-24_05"
+
+[workflows]
+runButton = "Project"
+
+[[workflows.workflow]]
+name = "Project"
+mode = "parallel"
+author = "agent"
+
+[[workflows.workflow.tasks]]
+task = "workflow.run"
+args = "Training"
+
+[[workflows.workflow]]
+name = "Training"
+author = "agent"
+
+[workflows.workflow.metadata]
+agentRequireRestartOnSave = false
+
+[[workflows.workflow.tasks]]
+task = "packager.installForAll"
+
+[[workflows.workflow.tasks]]
+task = "shell.exec"
+args = "python src/train.py"
+
+[deployment]
+run = ["sh", "-c", "python src/train.py"]

agent_assets/github_com_redx94_Dynamic-Neural-Network-Refinement.md

@@ -5,13 +5,20 @@ training:
   batch_size: 64
   learning_rate: 0.001
   loss_function: CrossEntropyLoss
+  log_interval: 100
+  annealing_start_epoch: 5
   checkpoints:
     save_interval: 5
     checkpoint_dir: models/checkpoints/
   data_loader:
     shuffle: true
     num_workers: 4
 
+model:
+  input_dim: 784  # 28x28 MNIST images
+  hidden_dims: [256, 128]
+  output_dim: 10  # MNIST has 10 classes
+
 thresholds:
   variance: 0.5
   entropy: 0.5