<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>sprobertson</author><text>How is your example not &amp;quot;$ import a_whole_bunch_of_stuff&amp;quot;?</text><parent_chain><item><author>a_bonobo</author><text>Too often you see articles like this and they start with&lt;p&gt;$ import a_whole_bunch_of_stuff&lt;p&gt;Good to see that this is not the case here :)&lt;p&gt;The fast.ai course has a similar exercise in the beginning, but you&amp;#x27;ll still import the weights from somewhere else.&lt;p&gt;Their fast.ai v1 library has a very short implementation too (loading the MINIST example dataset and then using Resnet18):&lt;p&gt;&lt;pre&gt;&lt;code&gt;    from fastai import *  
    from fastai.data import *  
    untar_data(MNIST_PATH)  
    data = image_data_from_folder(MNIST_PATH)  
    learn = ConvLearner(data, tvm.resnet18, metrics=accuracy)  
    learn.fit(1)
&lt;/code&gt;&lt;/pre&gt;
Done!&lt;p&gt;Source: &lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;docs.fast.ai&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;docs.fast.ai&amp;#x2F;&lt;/a&gt;</text></item></parent_chain></comment><story><title>How to build your own neural network from scratch in Python</title><url>https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>partycoder</author><text>How to make cake, by Russell Peters&lt;p&gt;First, you get cake.
Then you make it for 20 minutes.
Then you have cake.</text><parent_chain><item><author>a_bonobo</author><text>Too often you see articles like this and they start with&lt;p&gt;$ import a_whole_bunch_of_stuff&lt;p&gt;Good to see that this is not the case here :)&lt;p&gt;The fast.ai course has a similar exercise in the beginning, but you&amp;#x27;ll still import the weights from somewhere else.&lt;p&gt;Their fast.ai v1 library has a very short implementation too (loading the MINIST example dataset and then using Resnet18):&lt;p&gt;&lt;pre&gt;&lt;code&gt;    from fastai import *  
    from fastai.data import *  
    untar_data(MNIST_PATH)  
    data = image_data_from_folder(MNIST_PATH)  
    learn = ConvLearner(data, tvm.resnet18, metrics=accuracy)  
    learn.fit(1)
&lt;/code&gt;&lt;/pre&gt;
Done!&lt;p&gt;Source: &lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;docs.fast.ai&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;docs.fast.ai&amp;#x2F;&lt;/a&gt;</text></item></parent_chain></comment><story><title>How to build your own neural network from scratch in Python</title><url>https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6</url></story>