89
edits
Changes
m
|[[File:ML - TFL float fruitsmodel.png|none|thumb|1000x1000px]]
|[[File:ML - TFL halfquant fruitsmodel.png|none|thumb|1000x1000px]]
|[[File:ML - TFL QAT fruitsmodel.png|none|thumb|1000x1000px]]
TBD{
[ML - Keras1.15_fruitsmodel.png] [ML - TFL_float_fruitsmodel.png]The following images show the graphs of the models after conversion (click to enlarge):
no edit summary
So, it the end, three converted models were obtained: a regular 32 bit floating point one, an 8 bit half quantized (only the weights, not the activations) one, and a fully quantized one.
The following images show the graphs of the models before and after conversion (click to enlarge).:
{| class="wikitable" style="margin: auto;"
|+
|TBD
|TBD
|TBD
|-
|[[File:ML - Keras1.15 fruitsmodel.png|none|thumb|1000x1000px]]
|[[File:ML - Keras1.12 fruitsmodel.png|none|thumb|1000x1000px]]
|[[File:ML - TF1.15QAT fruitsmodel.png|none|thumb|1000x1000px]]
|}
{| class="wikitable" style="margin: auto;"|+|TBD|TBD|TBD|-|[[File:ML - Keras1.12_fruitsmodelTFL float fruitsmodel.png|none|thumb|1000x1000px] ]|[[File:ML - TFL_halfquant_fruitsmodelTFL halfquant fruitsmodel.png|none|thumb|1000x1000px]] |[[File:ML - TF1.15QAT_fruitsmodelTFL QAT fruitsmodel.png|none|thumb|1000x1000px] [ML - TFL_QAT_fruitsmodel.png]|}
==Running the application==