A picture is worth a thousand words! As computer vision and machine learning experts, we could not agree more. Human intuition is the most powerful way of making sense out of random chaos, ...
PyTorch to CoreML model conversion
Neural network usage usually takes a lot of computations, but in our modern world, even a smartphone can be a device to run your trained neural model. Today we will take a look at how we can convert a ...
How to Convert a Model from PyTorch to TensorRT and Speed Up Inference
The life of a machine learning engineer consists of long stretches of frustration and a few moments of joy! First, struggle to get your model to produce good results on your training data. You ...
Graph Convolutional Networks: Model Relations In Data
In an earlier post, we covered the problem of Multi Label Image Classification (MLIC) for Image Tagging. Recall that MLIC is an image classification task but unlike multi-class image ...
Federated Learning using PyTorch and PySyft
This is a a gentle introduction to federated learning --- a technique that makes machine learning more secure by training on decentralized data. We will also cover a real-life example of federated ...
Getting Started with PyTorch Lightning
Imagine, one day you have an amazing idea for your machine learning project. You write down all the details on a piece of paper- the model architecture, the optimizer, the dataset. And now you just ...