Digital-Thinking
A blog about machine learning, focusing on deep neural networks
This post is a summary of interesting resources I found in September. Feel free to add additional resources in the comments. Tools and frameworks Tensorflow 2.0 is out, finally Neptune.ML: A tool for tracking models, training and experiments GANs Latest…
In this post I would like to show how to use a pre-trained state-of-the-art model for image classification for your custom data. For this we utilize transfer learning and the recent efficientnet model from Google. An example for the standford…
This post is a summary of interesting resources I found in August. Feel free to add additional resources in the comments. Tools and frameworks Neural network visualization: Keras Visualization Toolkit Using pandas dataframes in Spark: Koalas: pandas API on Apache…
If you ever trained a CNN with keras on your GPU with a lot of images, you might have noticed that the performance is not as good as in tensorflow on comparable tasks. In this post I will show an…
This post is a summary of interesting resources I found in July. Feel free to add additional resources in the comments. Tools: Visualize neural networks with netron Python Profiling with yappi ML Projects: ML driven campaigns for online marketing Hardware:…
Recently, I wrote a post about how to deploy deep learning models into production without the use of additional frameworks. This approach was simplistic and works, but there is also TFX (tensorflow x), which is meant for production use cases….
This post is a summary of interesting resources I found in June. Feel free to add additional resources in the comments. Products AWS Personalize Search Machine Learning-Powered Search Ranking of Airbnb Experiences Computer Vision Robust classification framework Using AI to…
This is a list of resources for ml/ai engineers and data scientists
Understanding customer intent by clicks can improve customer journeys and enhance the overall user experience in eCommerce. An understanding of individual customers allows to customize the online experience in several ways. For example, it is possible to show them additional…
After weeks of training and optimizing a neural net at some point it might be ready for production. Most deep learning projects never reach this point and for the rest it’s time to think about frameworks and technology stack. The…