Tutorial: building a Hot Dog – Not Hot Dog classifier with TensorFlow and Keras
People who start with creating machine learning models, including the deep learning ones / neural networks that are popular today,...
3 Variants of Classification Problems in Machine Learning
The field of machine learning is big and by consequence it can be daunting to start your first machine learning...
TensorFlow Cloud: easy cloud-based training of your Keras model
Training a supervised machine learning model does often require a significant amount of resources. With ever-growing datasets and models that...
Easy install of Jupyter Notebook with TensorFlow and Docker
Being a data scientist could mean that you have the sexiest job of the 21st Century, according to some business...
TensorFlow model optimization: introducing weight clustering
Today’s state-of-the-art deep learning models are deep – which means that they represent a large hierarchy of layers which themselves...
Measuring sparsity during training: TensorFlow PruningSummaries
The human brain is very efficient: it can handle extremely complex cognitive situations with relative ease and energy efficiency. It...
TensorFlow pruning schedules: ConstantSparsity and PolynomialDecay
Today’s deep learning models can become very large. That is, the weights of some contemporary model architectures are already approaching...
TensorFlow model optimization: an introduction to Pruning
Enjoying the benefits of machine learning models means that they are deployed in the field after training has finished. However,...
TensorFlow model optimization: an introduction to Quantization
Since the 2012 breakthrough in machine learning, spawning the hype around deep learning – that should have mostly passed by...
TensorFlow Eager Execution: what is it?
Looking at the Effective TensorFlow 2 guide, we can see what major changes have occurred between TensorFlow 1 and 2.x....
