Intro to TensorBoard

Intro to TensorBoard Now that we’re constantly validating the data and saving our model, we can start thinking of ways to visualize the ins and outs of our model or ways to do exploratory data analysis of our model while or after it is done training. In Dandelion Mane’s talk at the TensorFlow Dev Summit 2017, he described it as a flashlight to shine on the black box of deep…

Intro to TensorFlow

In a series of blog posts, we want to show a step-by-step guide on how to get from a basic TensorFlow model to best-in-class architectures. Deep learning is a hot topic and it’s easy to find starting and advanced resources, but it can be difficult to see how to get from the intro material to more advanced models. We at Bitfusion would like to help address the lack of points…

Tensorflow 1.0 Updated Bitfusion AMI Available

We’re excited to announce that the newest version of our Bitfusion Ubuntu 14 Tensorflow AMI is now available in the AWS Marketplace with Tensorflow 1.0! This Tensorflow release marks a major milestone of functionality, robustness, and — going forward — backwards compatibility. For those that don’t know, Tensorflow is a popular open source framework for numerical computation using data flow graphs. Originally developed by engineers on the Google Brain Team…

Chainer 1.21 Updated Bitfusion AMI Now Available

We’re excited to announce the latest version of our Bitfusion Ubuntu 14 Chainer AMI is now available in the AWS Marketplace. Chainer is a Python framework for developing neural networks that can leverage CUDA for GPU computation. It supports a variety of network architectures including feed-forward nets, convnets, recurrent nets and recursive nets, and focuses on an intuitive experience with easy debugging. This latest AMI release includes Chainer 1.21, which includes…

New: Bitfusion MXNet AMI Now Available

We’re excited to announce the newest AMI in our lineup: Bitfusion Ubuntu 14 MXNet AMI, now available in the AWS Marketplace. Amazon CTO Werner Vogels has recently announced that MXNet is the company’s official deep learning framework of choice, paving the way for fast growth and interest this previously lesser known project. MXNet is a deep learning framework designed for efficiency, flexibility, and productivity. It allows you to mix symbolic programming…

Latest Bitfusion Caffe AMI Now Available

We’re excited to announce the newest version of our Bitfusion Ubuntu 14 Caffe AMI is now available in the AWS Marketplace. Caffe is a deep learning framework focused on expression, speed, and modularity for developing neural networks that can leverage CUDA for GPU computation. It was developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. This latest AMI release includes Caffe v1.0.0-rc3, which includes a variety of…

Latest Bitfusion Tensorflow AMI and New Pricing

We’re excited to announce that the newest version of our Bitfusion Ubuntu 14 Tensorflow AMI is now available in the AWS Marketplace. We’ve also made some exciting new changes to our pricing model to help save you money. Tensorflow is a popular open source framework for numerical computation using data flow graphs. Originally developed by engineers on the Google Brain Team for machine learning and deep neural nets, the nodes…

Latest Bitfusion Chainer AMI Now Available

We’re excited to announce the newest version of our Bitfusion Ubuntu 14 Chainer AMI is now available in the AWS Marketplace. Chainer is a Python framework for developing neural networks that can leverage CUDA for GPU computation. It supports a variety of network architectures including feed-forward nets, convnets, recurrent nets and recursive nets, and focuses on an intuitive experience with easy debugging. This latest AMI release includes Chainer 0.17, which includes…

Latest Bitfusion Theano AMI Now Available

We’re excited to announce the newest version of our Bitfusion Ubuntu 14 Theano AMI is now available in the AWS Marketplace. Theano is python library that provides that provides tight integration with NumPy for numerical computing and has a large amount of community use and support. Theano is great for machine learning and deep learning use cases since it can leverage CPUs or GPUs transparently, and it can quickly build up optimized…