Univariate Time Series CNN Modeling Template Using TensorFlow Version 1

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that can be used to support time series analysis using the TensorFlow framework and Python.

Version 1 of the TensorFlow CNN time series template replicates Dr. Brownlee’s blog post “Deep Learning Models for Univariate Time Series Forecasting”. I plan to build a script for modeling future projects by adapting the example workflow presented in the blog.

You will find the Python time series template on the Analytics Project Templates page.

Univariate Time Series MLP Modeling Template Using TensorFlow Version 1

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that can be used to support time series analysis using the TensorFlow framework and Python.

Version 1 of the TensorFlow MLP time series template replicates Dr. Brownlee’s blog post “Deep Learning Models for Univariate Time Series Forecasting”. I plan to build a script for modeling future projects by adapting the example workflow presented in the blog.

You will find the Python time series template on the Analytics Project Templates page.

Tabular Data Analytics Project Templates Using Python and AutoKeras Version 3

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that I use to experiment with modeling ML problems using Python and the AutoKeras library.

Version 3 of the AutoKeras templates contain updated structures and code like the previous templates. I designed the templates to address regression, binary classification, and multi-class classification modeling exercises from beginning to end.

You will find the Python templates on the Analytics Project Templates page.

Multi-Label Tabular Data Classification Analytics Project Template Using TensorFlow Version 2

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that I use to experiment with modeling multi-label classification problems using Python and the TensorFlow library.

Version 2 of the TensorFlow templates contain updated structures and code like the previous multi-label classification TensorFlow templates. I designed the templates to address multi-class and multi-label modeling exercises from beginning to end.

You will find the Python templates on the Analytics Project Templates page.

Multi-Class Image Classification Analytics Project Template Using TensorFlow Version 2

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that I use to experiment with modeling image classification problems using Python and the TensorFlow library.

Version 2 of the TensorFlow templates contain updated structures and code like the previous image classification TensorFlow templates. I designed the templates to address multi-class modeling exercises from beginning to end.

You will find the Python templates on the Analytics Project Templates page.

Binary Class Image Classification Analytics Project Template Using TensorFlow Version 2

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that I use to experiment with modeling image classification problems using Python and the TensorFlow library.

Version 2 of the TensorFlow templates contain updated structures and code like the previous image classification TensorFlow templates. I designed the templates to address binary class modeling exercises from beginning to end.

You will find the Python templates on the Analytics Project Templates page.

Tabular Data Analytics Project Templates Using Python and TensorFlow Version 9

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that I use to experiment with modeling ML problems using Python and the TensorFlow library.

Version 9 of the TensorFlow templates contain updated structures and code like the previous TensorFlow templates. I designed the templates to address regression, binary classification, and multi-class classification modeling exercises from beginning to end.

You will find the Python templates on the Analytics Project Templates page.

Image Object Detection Model for Random Sample Images Using TensorFlow Take 6

Template Credit: Adapted from an Object Detection tutorial on TensorFlow.org.

Additional Notes: I adapted this workflow from the TensorFlow Object Detection tutorial on TensorFlow.org. I plan to build a script for building future projects using object detection models.

SUMMARY: This project aims to construct an object detection model using the TensorFlow-based neural network and document the end-to-end steps using a template.

This iteration will use the TF2 Mask R-CNN Inception ResNet V2 1024×1024 object detection model to test some sample images. The model was constructed using the Mask R-CNN Object detection model and trained on COCO 2017 dataset with training images scaled to 1024×1024.

Images Used: 1. Airport runway; 2. Tanzania Safari; 3. Streets with Cars; 4. Public Library

Dataset ML Model: Image Object Detection using TensorFlow Hub Models

Additional References: https://tfhub.dev/s?module-type=image-object-detection

The HTML formatted report can be found here on GitHub.