Repro Repo

Build PyTorch from Source with CUDA 12.2.1 with Ubuntu 22.04

Build PyTorch from Source on Ubuntu 18.04

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Speed Up PyTorch by Building from Source on Ubuntu 18.04

In my experience, building PyTorch from source reduced training time from 35 seconds to 24 seconds per epoch for an AlexNet-like…

Install CUDA 10.1 and cuDNN 7.5.0 for PyTorch on Ubuntu 18.04 LTS

Now that TensorFlow finally supports/requires CUDA 10.x, it’s time to upgrade CUDA and cuDNN. I thought it would be as easy as following…

Install OpenCV 4.0.1 from Source on MacOS with Anaconda Python 3.7 to Use SIFT and SURF

Deploy a Trained RNN/LSTM Model with TensorFlow-Serving and Flask, Part 2: Export and Serve Model

Table of Contents

In part 1, we explained the TensorFlow-Serving architecture, showed how to export a model the official way…

Random Model Hyperparameter Search for Convolutional Neural Networks: a PyTorch Example

When you Google “Random Hyperparameter Search,” you only find guides on how to randomize learning rate, momentum, dropout, weight decay, etc. What if you also want to experiment…

Export and Import Models with Tensorflow SavedModelBuilder: an LSTM Example

NOTE: (7/23/2018) I’m primarily a PyTorch dev and am new to TensorFlow, and this is my first attempt to get it working. I will update this post to reflect changes in my understanding of the framework.