Tensorflow multiple instance learning based on text and integers
Let's say I have a collection of objects, each looking like this (but different values):
{
name:"Fitch",
age:6,
siblings:5,
mothersName: "Browny",
activeness: 0.74
}
I'd like to take this and put it into one of three categories: dog
, cat
or hamster
- I have 50 examples where I've already stated this, in the format:
{
name:"Chocolate",
age:3,
siblings:2,
mothersName: "Tinsel",
activeness: 0.11,
category: "hamster"
}
How can I convert the rest of my array into this format (with the category key)? I assume I'll need to use multiple instance learning, as mentioned here, but the Github repo mentioned in the answer there referred to images only. I've tried tweaking it to work with my array, but since I'm quite new to Tensorflow I got stuck on this step.
Could someone please help me?
Thanks.
python tensorflow machine-learning conv-neural-network
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Let's say I have a collection of objects, each looking like this (but different values):
{
name:"Fitch",
age:6,
siblings:5,
mothersName: "Browny",
activeness: 0.74
}
I'd like to take this and put it into one of three categories: dog
, cat
or hamster
- I have 50 examples where I've already stated this, in the format:
{
name:"Chocolate",
age:3,
siblings:2,
mothersName: "Tinsel",
activeness: 0.11,
category: "hamster"
}
How can I convert the rest of my array into this format (with the category key)? I assume I'll need to use multiple instance learning, as mentioned here, but the Github repo mentioned in the answer there referred to images only. I've tried tweaking it to work with my array, but since I'm quite new to Tensorflow I got stuck on this step.
Could someone please help me?
Thanks.
python tensorflow machine-learning conv-neural-network
add a comment |
Let's say I have a collection of objects, each looking like this (but different values):
{
name:"Fitch",
age:6,
siblings:5,
mothersName: "Browny",
activeness: 0.74
}
I'd like to take this and put it into one of three categories: dog
, cat
or hamster
- I have 50 examples where I've already stated this, in the format:
{
name:"Chocolate",
age:3,
siblings:2,
mothersName: "Tinsel",
activeness: 0.11,
category: "hamster"
}
How can I convert the rest of my array into this format (with the category key)? I assume I'll need to use multiple instance learning, as mentioned here, but the Github repo mentioned in the answer there referred to images only. I've tried tweaking it to work with my array, but since I'm quite new to Tensorflow I got stuck on this step.
Could someone please help me?
Thanks.
python tensorflow machine-learning conv-neural-network
Let's say I have a collection of objects, each looking like this (but different values):
{
name:"Fitch",
age:6,
siblings:5,
mothersName: "Browny",
activeness: 0.74
}
I'd like to take this and put it into one of three categories: dog
, cat
or hamster
- I have 50 examples where I've already stated this, in the format:
{
name:"Chocolate",
age:3,
siblings:2,
mothersName: "Tinsel",
activeness: 0.11,
category: "hamster"
}
How can I convert the rest of my array into this format (with the category key)? I assume I'll need to use multiple instance learning, as mentioned here, but the Github repo mentioned in the answer there referred to images only. I've tried tweaking it to work with my array, but since I'm quite new to Tensorflow I got stuck on this step.
Could someone please help me?
Thanks.
python tensorflow machine-learning conv-neural-network
python tensorflow machine-learning conv-neural-network
asked Dec 29 '18 at 13:31


Geza KerecsenyiGeza Kerecsenyi
55
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