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This is the 7th post of a series exploring TensorFlow.  The primary source of material used is the Udacity course "Intro to TensorFlow for Deep Learning" by TensorFlow.  My objective is to document some of the things I learn along the way and perhaps interest you in a similar journey.  In a follow-on series I intend to cover TensorFlow Lite using a Raspberry Pi.   Recap   The last post completed my coverage of how image classification works in TensorFlow.  In the v ...
This is the 6th post of a series exploring TensorFlow.  The primary source of material used is the Udacity course "Intro to TensorFlow for Deep Learning" by TensorFlow.  My objective is to document some of the things I learn along the way and perhaps interest you in a similar journey.  In a follow-on series I intend to cover TensorFlow Lite using a Raspberry Pi.   Recap   In the last post complex color image categorization and the concept of validation was introduced. ...
This is the 5th of a series exploring TensorFlow.  The primary source of material used is the Udacity course "Intro to TensorFlow for Deep Learning" by TensorFlow.  My objective is to document some of the things I learn along the way and perhaps interest you in a similar journey.   Recap   In previous posts regression, grey scale image categorization, and convolutional neural networks were discussed.  The images used were low resolution and of a uniform size represent ...
This is the 4th of a series exploring TensorFlow.  The primary source of material used is the Udacity course "Intro to TensorFlow for Deep Learning" by TensorFlow.  My objective is to document some of the things I learn along the way and perhaps interest you in a similar journey.   Recap   In the 2nd post and 3rd post simple image recognition was explored using a training dataset of 60,000 images and a test dataset of 10,000 images.  The dataset contained 10 classes o ...
This is the third of a series exploring TensorFlow.  The primary source of material used is the Udacity course "Intro to TensorFlow for Deep Learning" by TensorFlow.  My objective is to document the things I learn along the way and perhaps interest you in a similar journey.  I have had very little time to work on this project recently but hope to be more productive in the coming weeks.  If I get a project working in time I will make an entry in the Project14 Vision Thing Comp ...
This is the second of a series exploring TensorFlow.  Since I have no training in machine learning it does not consist of tutorials but has links to the material that I am using.  I use my Windows PC to train models and plan to use a Raspberry Pi to do object classification.  The main purpose will be to document the things I learn along the way and perhaps interest you in a similar journey.   Recap   TensorFlow can do two types of deep learning:  Regression and Cl ...