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ML/DL/RL templates with very basic datasets with a bit of modification in order to further demonstrate someone else. Can be a good starter CODE!

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ML/DL/RL templates with very basic datasets with a bit of modification in order to further demonstrate someone else. Can be a good starter CODE!

FOR ANN SECTION: important research papers and links :

Installing Tensorflow/theano/keras provided you are working with anaconda and python 3.5.2! so here it goes

-Below are the installation instructions (you will notice that only Keras needs to be installed, this is normal, since the Keras package integrates TensorFlow):

if() Linux and Mac users, please open your terminal. On Mac, the easiest way to open it is to press anywhere cmd + space, and then in the Spotlight Search you enter "terminal". On Linux, you will find it very easily, usually on the left side of your monitor. Then inside the terminal, copy-paste and enter the following line command:

  -conda install -c conda-forge keras

else if() Windows users, please open the anaconda prompt, which you can find this way: Windows Button in the lower left corner -> List of programs -> anaconda -> anaconda prompt Then inside the anaconda prompt, copy-paste and enter the following line command:

  -conda install -c conda-forge keras

install keras packages with pip, like:

  -pip install keras-applications
  
  -pip install keras-preprocessing

And you are ready to use and train YOUR NEURAL NETS!

IMPORTANT read next:

1 Answers the question, "why do we use linear activation functions like ReLU when working with CNN?"

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ML/DL/RL templates with very basic datasets with a bit of modification in order to further demonstrate someone else. Can be a good starter CODE!

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