Deep Learning with R, 2nd Edition
Announcing the release of “Deep Learning with R, 2nd Edition”, a book that shows you how to get started with deep learning in R.continue reading.
Category: TensorFlow
Car Model Classification II: Deployment von TensorFlow-Modellen in Docker mit TensorFlow Serving
Wie interagiert man in einer produktiven Umgebung mit Machine Learning Modellen? Im zweiten Teil unserer 4-teiligen Blogserie zum Thema Car Model Classification lernt ihr, wie ihr ein TensorFlow-Modell zur Bilderkennung...continue reading.
Car Model Classification I: Transfer Learning with ResNet
In this 4-part blog series on car model classification, we want to illustrate how an end-to-end deep learning project can be implemented. In the first part, we will show how...continue reading.
Using Reinforcement Learning to play Super Mario Bros on NES using TensorFlow
Could you #BeatTheAI? We let deep learning have a go at Super Mario’s first level and compared it to human players. Here we explain how we did it! Der Beitrag...continue reading.
Using Recurrent Neural Nets to Generate Band Names
In this post we will return to the Pitchfork music data and use recurrent neural networks (a “deep learning” technique) to automatically generate band names.The DataFor this analysis, we will...continue reading.
Building a scaleable Deep Learning Serving Environment for Keras models using NVIDIA TensorRT Server and Google Cloud
In a recent project at STATWORX, my team and I developed a large scale deep learning application for image classification using Keras and Tensorflow. After developing the model, we needed...continue reading.
Learning Images with Keras
Introduction Teaching machines to handle image data is probably one of the most exciting tasks in our daily routine at STATWORX. Computer vision in general is a path to many...continue reading.
An introduction to machine learning with Keras in R
A guest post by @MaxMaPichler, MSc student in the Group for Theoretical Ecology / UR Artificial neural networks, especially deep neural networks and (deep) convolutions neural networks, have become increasingly popular...continue reading.
A word on Tensorflow condition operation tf.cond
$tf.cond$ is used to define if-statement in tensorflow operation graph. It has the following signature: cond( pred, true\_fn=None, false\_fn=None)An important point that needs to be noted is that $tf.cond$ evaluates...continue reading.
Imitation Learning in Tensorflow (Hopper from openAI gym)
There are couple of interesting findigns while I was trying to get maximum reward for the hooper. 1- Adam optimizer works much better than gradient descent. The following plots shows...continue reading.
Simple Matrix Factorization with TensorFlow
This post aims to illustrate use of TensorFlow framework for implementing a simple Matrix Factorization (MF). MF is one of the widely used recommender systems that is especially exploited when...continue reading.
