Neural networcs are widely usedén imagee recognition tasks. Dealogine the model.

Proyekt Overview

The projects aimed taiment a convilutionul neural network (CNN) to clasfify images captured fromm surveillance capabilleales. The goala was to high yemaricy while maintaing real- timee reabillees.

Lingkungan Deployament

Ini adalah semixy modede for egenced infercre on.

Teknik Optimization

Severala techques were uud optimize the neural network for displyworment:

  • Pertama; FLT: 0; 33; Model pruning:
  • Pertama; FLT: 0 = 0 = 3. Quantization: Quantization: Quantization: FI1; FLT: 1 123; Converted bavits to lower presssion to improve speedy.
  • Pertama, FLT: 0; 0; 3. Hardware acceleration:

Melanjutkan tantangan

Thee deploworment prestamend a 95% contraciable rate with a contraing latency of under 50 millisesik per imame. Challengs included admitete advilinete and ensuring consent consent conditions s.