Tutorial
A Guide to TensorFlow Callbacks
TensorFlow callbacks are an essential part of training deep learning models, providing a high degree of control over many aspects of your model training.
5 years ago
5 years ago
Nuts and Bolts of NumPy Optimization Part 3: Understanding NumPy Internals, Strides, Reshape and Transpose
We cover basic mistakes that can lead to unnecessary copying of data and memory allocation in NumPy. We further cover NumPy internals, strides, reshaping, and transpose in detail.
5 years ago
Generating Text Summaries Using GPT-2 on PyTorch with Minimal Training
In this article I will discuss an efficient abstractive text summarization approach using GPT-2 on PyTorch with the CNN/Daily Mail dataset.
5 years ago
Nuts and Bolts of NumPy Optimization Part 1: Understanding Vectorization and Broadcasting
In Part 1 of our series on writing efficient code with NumPy we cover why loops are slow in Python, and how to replace them with vectorized code. We also dig deep into how broadcasting works, along with a few practical examples.
5 years ago
