TensorFlow Weekly Issue 3

TensorFlow Weekly Issue 3 — August 07, 2018

Hi there, these are the top TensorFlow links from my weekly curation. If you're having trouble viewing this email, please read the online version.

Bring your own pre-trained MXNet or TensorFlow models into Amazon SageMaker — This blog post explains how to deploy your own models on Amazon SageMaker that have been trained on TensorFlow or MXNet. The following is an overview of the entire process: Step 1: Model definitions are written in a framework of choice, Step 2: The model is trained in that framework, Step 3: The model is exported and model artifacts that can be understood by Amazon SageMaker are created, Step 4: Model artifacts are uploaded to an Amazon S3 bucket, Step 5: Using the model definitions, artifacts, and the Amazon SageMaker Python SDK, a SageMaker model is created, Step 6: The SageMaker model is deployed as an endpoint...
Ragav Venkatesan

Crypto portfolio optimization with Python and Tensorflow — Matrix calculus approach — Breathe deep because today we are going to dive into the land of portfolio optimization. We will use fancy tools around the Python ecosystem, Financial Risk Modeling and a bit of Machine Learning to build a crypto portfolio optimizer...
Jordi Moraleda

Text Classification with Deep Neural Network in TensorFlow — Simple Explanation — Text classification implementation with TensorFlow can be simple. One of the areas where text classification can be applied — chatbot text processing and intent resolution. I will describe step by step in this post, how to build TensorFlow model for text classification and how classification is done...
Andrejus Baranovskis

Create a Linear Regression model with Tensorflow and use it in an Android application — In this project we will build a simple linear regression graph in Tensorflow that we will later use to predict values from an Android application...
Ferran Garriga

Building a Custom Machine Learning Model on Android with Tensorflow Lite — ML Kit is a set of APIs provided by Firebase that provide Face Detection, Barcode Scanning, Text Recognition, Landmark Detection and Image Labelling. Some of these APIs provide an offline-mode which enables you to use these features without worrying if a user has an internet connection...ML Kit is great for the common use cases described above, but what if you have some very specific use case? For example, you want to be able to classify between different kinds of candy boxes, or you want to be able to differentiate between different potato chip packets. This is when TensorFlow Lite comes in...
Rebecca Franks

Attention-based Neural Machine Translation with Keras — As sequence to sequence prediction tasks get more involved, attention mechanisms have proven helpful. A prominent example is neural machine translation. Following a recent Google Colaboratory notebook, we show how to implement attention in R...
Sigrid Keydana

Neural Style Transfer: Creating Art with Deep Learning using tf.keras and eager execution — In this tutorial, we will learn how to use deep learning to compose images in the style of another image (ever wish you could paint like Picasso or Van Gogh?). This is known as neural style transfer! This is a technique outlined in Leon A. Gatys’ paper, A Neural Algorithm of Artistic Style, which is a great read, and you should definitely check it out...
Raymond Yuan

TensorFlow 1.9 Officially Supports the Raspberry Pi — When TensorFlow was first launched in 2015, we wanted it to be an “open source machine learning framework for everyone”. To do that, we need to run on as many of the platforms that people are using as possible...Thanks to a collaboration with the Raspberry Pi Foundation, we’re now happy to say that the latest 1.9 release of TensorFlow can be installed from pre-built binaries using Python’s pip package system!...
Pete Warden

Deep Reinforcement Learning: Playing CartPole through Asynchronous Advantage Actor Critic (A3C) with tf.keras and eager execution — In this tutorial we will learn how to train a model that is able to win at the simple game CartPole using deep reinforcement learning. We’ll use tf.keras and OpenAI’s gym to train an agent using a technique known as Asynchronous Advantage Actor Critic (A3C)...
Raymond Yuan

 

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Cheers,
Sebastian