titanic tensorflow or scikit learn in colab (again)
denge challenge (city likelyhood of issues)
trump chatbot (RNN or LSTM) http://complx.me/2016-12-31-practical-seq2seq/
trump tweet target identifier
continue reading books (2)
tensorflow iris example in keras
rewatch some youtube tensorflow or siraj or sentdex (ML or tensorflow playlists)
read: https://www.datascienceatthecommandline.com/chapter-2-getting-started.html
Today's Progress: Watched more videos on using Tensorflow.js from Code Train
Thoughts: More great examples from Tesnorflow.js. Also read more of the documentation on the js.tensorflow.org site
Link to work:
watched 6.4 and 6.5, plus some of the coding challenges
https://www.youtube.com/watch?v=FbSlrm2GmC8 6.4 Memory Management in Tensorflow.js
https://www.youtube.com/watch?v=dLp10CFIvxI Coding Challenge: Linear Regression with TensorFlow.js
https://www.youtube.com/watch?v=tIXDik5SGsI Coding Challenge: Polynomial Regression with TensorFlow.js
Today's Progress: Watched one hour of video on Tesnorflow.js from The Coding Train
Thoughts: Looking forward to using tensorflow.js with node.js especially if I can make something that can be run on AWS Lambda or Serverless. I am attempting to reuse an image classifier retrained on just Tesla Model 3 and Model S classified images to see if I could train a classifier to visually tell the difference between these images of these vehicle models.
Link to work: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YIeVA3dNxbR9PYj4wV31oQ watched 6.1, 6.2 and 6.3 https://www.youtube.com/watch?v=Qt3ZABW5lD0
https://www.youtube.com/watch?v=D-XzAeVvMkg
https://www.youtube.com/watch?v=KzWF_wzx9PU
Today's Progress: One hour of reading of "Hands-On Machine Learning with SciKit-Learn & Tensorflow" and watched video on Tensorflow Estimators
Thoughts: First day of 100 days, must stay with it.
Link to work: https://www.youtube.com/watch?v=ChidCgtd1Lw