Document CNN v2 training pipeline improvements

- HOWTO.md: Document always-save-checkpoint behavior and --quiet flag
- COMPLETED.md: Add milestone entry for Feb 14 CNN v2 fixes
- Details: checkpoint saving, num_layers derivation, output streamlining

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

1 files changed, 10 insertions, 0 deletions

diff --git a/doc/HOWTO.md b/doc/HOWTO.md
index c98f6ee..506bf0a 100644
--- a/doc/HOWTO.md
+++ b/doc/HOWTO.md
@@ -166,8 +166,11 @@ Enhanced CNN with parametric static features (7D input: RGBD + UV + sin encoding
 
 **Defaults:** 200 epochs, 3×3 kernels, 8→4→4 channels, batch-size 16, patch-based (8×8, harris detector).
 - Live progress with single-line update
+- Always saves final checkpoint (regardless of --checkpoint-every interval)
+- When multiple kernel sizes provided (e.g., 3,5,3), num_layers derived from list length
 - Validates all input images on final epoch
 - Exports binary weights (storage buffer architecture)
+- Streamlined output: single-line export summary, compact validation
 - All parameters configurable via command-line
 
 **Validation Only** (skip training):
@@ -207,12 +210,19 @@ Enhanced CNN with parametric static features (7D input: RGBD + UV + sin encoding
 
 **Export Binary Weights:**
 ```bash
+# Verbose output (shows all layer details)
 ./training/export_cnn_v2_weights.py checkpoints/checkpoint_epoch_100.pth \
   --output-weights workspaces/main/cnn_v2_weights.bin
+
+# Quiet mode (single-line summary)
+./training/export_cnn_v2_weights.py checkpoints/checkpoint_epoch_100.pth \
+  --output-weights workspaces/main/cnn_v2_weights.bin \
+  --quiet
 ```
 
 Generates binary format: header + layer info + f16 weights (~3.2 KB for 3-layer model).
 Storage buffer architecture allows dynamic layer count.
+Use `--quiet` for streamlined output in scripts (used automatically by train_cnn_v2_full.sh).
 
 **TODO:** 8-bit quantization for 2× size reduction (~1.6 KB). Requires quantization-aware training (QAT).