00:00And these are the updated weights and this is the updated bias.
00:04So this is however the problem is being solved on a similar lines the implementation is also
00:13been done.
00:14This is a simple single layer perception implementation one.
00:18And this is when a new data is passed the new data if you remember during a testing time
00:24we were passing a new data.
00:26So when we pass a new data here the new data that we passed here is this for this we
00:31have
00:31again calculated z we have calculated we have passed it to threshold we have printed all
00:36those values and the prediction that it has made is you can able to see the predicted value
00:44is 1.
00:45This is what is the implementation of a single layer perception.
00:49So with this we have seen the theory behind a single layer perception and we have also
00:56learnt a little about the basics of Google Colab.
01:00And then why we require Google Colab even if we if our laptop does not if our system does
01:05not support with high configuration if we use Google Colab you can able to still run machine
01:11learning and deep learning algorithms.
01:13And then we towards the end we had seen an implementation of a single layer perception.
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