Random PWM generator and dataset

[iamciera]

1. Generate Code - done. See https://github.com/DiscoveryDNA/team_neural_network/blob/master/code/utility/Random_PWM_Generator.ipynb
2. Run 4 random PWM on original sequences to get new dataset - @iamciera
3. Format the new dataset - @Jesseswoo
4. Run through bidirectional LSTM architecture. This acts as a negative control. This should yield a lower accuracy score.

[iamciera]

Great start. Excited to run new experiments with this! @Jesseswoo can you do the below tasks:

• Make new PWM of length 8,9,6,6. I will start making the new data from that ASAP
• Move all your code and associated files to a new repo: [https://github.com/DiscoveryDNA/random_pwm_generator](Hey @jesse Woo, Can you make four new random PWM? Length 8,9,6,6. I will start making the new data from that ASAP
• Delete all the files that are associated from team_neural_network