Building Image Datasets for Computer Vision Algorithms
A dive into the challenges of data collection, and data labeling and the most efficient ways and tools to tackle them.
A dive into the challenges of data collection, and data labeling and the most efficient ways and tools to tackle them.
In part two of deploying deep learning models, learn how to host on Paperspace.
In this tutorial we'll see how you can take your work and give it an audience by deploying your projects on the web
Here we see how to speed up NumPy array processing using Cython. By explicitly declaring the "ndarray" data type, your array processing can be 1250x faster.
In this tutorial we'll train CycleGAN with Keras to generate images which age a subject's face, either forwards or backwards.
Python might be one of today's most popular languages, but it's definitely not the most efficient. See how Cython can easily boost your Python scripts.
An introduction to PyTorch, what makes it so advantageous, and how PyTorch compares to TensorFlow and Scikit-Learn. Then we'll look at how to use PyTorch by building a linear regression model and using it to make predictions.
Part two of series on 3d modeling with python script in Blender.
Part 3 of series on 3d modeling with python script in Blender.