A practical guide to Deep Learning in 6 months
This post will give you a detailed roadmap to learn Deep Learning and will help you get Deep Learning internships and full-time jobs within 6 months.
7 years ago
Tutorial
Generating an interactive Pix2Pix model with Gradient° and ml5.js
Learn to train a generative image model using Gradient° and then porting the model to ml5.js, so you can interact with it in the browser.
7 years ago
Featured
public
Series: Data Augmentation
Data Augmentation for Bounding Boxes: Rethinking Image Transforms for Object Detection
How to adapt major image augmentation techniques for object detection purposes. We also cover the implementation of horizontal flip augmentation.
7 years ago
Featured
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Quilt
Reproducible machine learning with PyTorch and Quilt
In this article, we'll use Quilt to transfer versioned training data to a remote machine. We'll start with the Berkeley Segmentation Dataset, package the dataset, then train a PyTorch model for super-resolution imaging.
By
Aneesh Karve
Training an LSTM network and sampling the resulting model in ml5.js
In this post, we will learn how to train a language model using a LSTM neural network with your own custom dataset and use the resulting model inside so you will able to sample from it directly from the browser!
7 years ago
By
Ravi Munde
Vectorization and Broadcasting with Pytorch
Next time you're wondering why your machine learning code is running slowly, even on a GPU, consider vectorizing any loopy code!
By
Amin Manna
Building a simple Generative Adversarial Network (GAN) using TensorFlow
Generative Adversarial Networks or GANs are one of the most active areas in deep learning research and development due to their incredible ability to generate synthetic results. In this blog, we will build out the basic intuition of GANs through a concrete example.
By
Aadil Hayat
Featured
public
Series: YOLO object detector in PyTorch
How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 1
Tutorial on building YOLO v3 detector from scratch detailing how to create the network architecture from a configuration file, load the weights and designing input/output pipelines.
8 years ago
