Hyperparameter tuning with Keras and Ray Tune
Using HyperOpt’s Bayesian optimization with HyperBand scheduler to choose the best hyperparameters for machine learning models
Blog
Recent posts
Understanding and implementing a fully convolutional network (FCN)
A tutorial on building, training and deploying a small and nimble FCN model for image classification in TensorFlow using Keras
Visual Interpretability for Convolutional Neural Networks
An introduction to visualization techniques in ConvNets
Getting started with TensorFlow 2.0
A practitioner’s guide to building and deploying an image classifier in TensorFlow 2.0
Deploying Keras models using TensorFlow Serving and Flask
A tutorial on creating a TensorFlow Serving server and Flask based RERST API to deploy our image classification convolutional neural network (CNN) built in K...