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TensorFlow 2.0 Tutorial 03: Saving Checkpoints

This tutorial explains how to use checkpoints to save and restore TensorFlow models during the training. The key is to use tf.kears.ModelCheckpoint callbacks to save the model. Set initial_epoch in the model.fit call to restore the model from a pre-saved checkpoint.

Published 06/06/2019 by Chuan Li

TensorFlow 2.0 Tutorial 02: Transfer Learning

This tutorial explains how to do transfer learning with TensorFlow 2. We cover handling customized datasets, restoring backbone with Keras's application API, and restoring backbone from the disk.

Published 06/05/2019 by Chuan Li

How to Run OpenAI's GPT-2 Text Generator on Your Computer

OpenAI recently published a blog post on their GPT-2 language model. This tutorial shows you how to run the text generator code yourself.

Published 02/16/2019 by Stephen Balaban

Install CUDA 10 on Ubuntu 18.04

Simple steps to install CUDA 10 on Ubuntu 18.04 in one line of code using Lambda Stack or NVIDIA's .deb file.

Published 02/10/2019 by Stephen Balaban

Set up a GPU accelerated Docker container using Lambda Stack + Lambda Stack Dockerfiles on Ubuntu 20.04 LTS

Set up a GPU accelerated Docker containers using Lambda Stack + Lambda Stack Dockerfiles + docker.io + nvidia-container-toolkit on Ubuntu 20.04 LTS Provides a docker container with TensorFlow, PyTorch, caffe, and a complete Lambda Stack installation.

Published 02/10/2019 by Stephen Balaban

Tips for implementing SSD Object Detection (with TensorFlow code)

This blog gives a brief introduction on the history of object detection, explains the idea behind Single-Shot Detection (SSD), and discusses a number of implementation details that will make-or-break the performance. Tensorflow implementation is also provided.

Published 01/06/2019 by Chuan Li

How to install Ubuntu 16.04/18.04 and Lambda Stack on a Tensorbook (Gen 2)

This tutorial walks you through the entire process of installing Ubuntu 16.04 from scratch on a Tensorbook with Lambda Stack.

Published 11/06/2018 by Stephen Balaban

Image Segmentation

This tutorial will explain the main ideas behind some of the popular networks for image segmentation, including fully convolutional networks and U-Net. Tensorflow implementations of these networks are provided.

Published 10/07/2018 by Chuan Li

Hyper-Parameter Tuning

This tutorial covers the basic of hyper-parameter tuning in the context of image classification. We use ResNet32 and CIFAR10, and showcase how to find the optimal optimizer and learning rate using the tuner function in Tensorflow.

Published 09/26/2018 by Chuan Li

Transfer Learning with TensorFlow Tutorial: Image Classification Example

This tutorial demonstrates how to use a pre-trained model for transfer learning. The networks used in this tutorial include ResNet50, InceptionV4 and NasNet. The dataset is Stanford Dogs. Tensorflow implementation is provided.

Published 09/21/2018 by Chuan Li

How To Classify Images with TensorFlow - a Step-By-Step Tutorial

This tutorial will walk you through the steps of building an image classification application with TensorFlow. We will also introduce you to a few building blocks for creating your own deep learning demos.

Published 09/13/2018 by Chuan Li

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