Neural architecture search with Simmulated Annealing

Job ID: 31108471

Budget: $30 – $250 USD

Request details
im trying to build a neural architecture search that would use annealing to decide ALL the parameters such as the number of conv layers, filters, dense layers, optimiser used, dropout, max pooling etc
Related categories: Python Tensorflow Keras