pro-grammer

pro-grammer

0-day streak
Here is the finished version of the sentiment analisis model I have been working on!!! • This is the actual code for the model: github.com/adrirubio/Perceptron/blob/main/sentiment_analisis_model.py If you train that model you get a trained and saved model ready for usage this model adds to the previously created transfer learning model for talking, image recognition and soon to be created image detection model!!! • Here is the code for Perceptron with the models we have already discussed: github.com/adrirubio/Perceptron/blob/main/perceptron.py • And here is the home page for Perceptron: github.com/adrirubio/Perceptron For those of you who don't know what I am creating it is basically a combination of many AI model and it is called Perceptron a model that can talk to you (the transfer learning model) only triggered by its name (Perceptron) and it also has manual resposes here are some examples: plays music, stops music, searches on google, searches on the wiki, gets the time, gets the weather and more... Apart from the transfer learning model it also has an image recognition model that you can also train and when you say the word "image" when you talk it asks for the path and predicts what the image is!!! The latest model (the one I have just created) is a sentiment analisis model that when you talk to Perceptron after it responds it (the sentiment analisis model) also tells you its prediction for how you are feeling example : happy, sad ... All of these models are really cool but believe it or not there are still more comming!!! For more information on Perceptron read the readme at: github.com/adrirubio/Perceptron I really enjoy this project and think it makes a good combination of several AI's two for talking (the transfer learning model and the sentiment analisis model) and two for image recognition (image recognition model and the yet to come image detection model)!!! With that I leave you to enjoy the journey I had to create the sentiment analisis model (probably my hardest model yet!!!)
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Here is the finished version of my new and improved CNN model: The CNN model works by inputing an image and it tells you what class it thinks it is • Here is the model training code: github.com/adrirubio/Perceptron/blob/main/CNN_model.py All of this adds to the already created Perceptron model which is a model that can talk thanks to a Transfer Learning model and some manual if statements here I created another one that checks if the user asks to input an image and the it accseses the trained CNN model that says what it thinks the image is. Here is the code for Perceptron: github.com/adrirubio/Perceptron/blob/main/perceptron.py If you want more info on what I am doing please check out the respository for Perceptron: github.com/adrirubio/Perceptron Anyway hope you enjoy the code!!!
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This is the finished version of Perceptron for now but I will modify Perceptron in future sessions: • Home page and readme: github.com/adrirubio/Perceptron • Transfer Learning model: github.com/adrirubio/Perceptron/blob/main/model.py • Example of how the Transfer Learning model might generate responses: github.com/adrirubio/Perceptron/blob/main/generate_responses.py • And the actual code for Perceptron the manual if statements for features and the conversation model: github.com/adrirubio/Perceptron/blob/main/perceptron.py If you train the model and run the Perceptron code you should have a fully functioning conversation model with some cool features and you can run this code using a cron job and have Perceptron running on the background of you computer and only be trigged by using the key work Perceptron. For more information see the readme of Perceptron. But, Perceptron doesn't finish there I am planning to create a CNN model that will add functions to Perceptron. So, I will be back...
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Hi guys, I finished building the adeeptpicar-b (rover) which works really well!!! This is what it looks like:_
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