Deploying Deep Learning Models Part 1: Preparing the Model
In this tutorial we'll see how you can take your work and give it an audience by deploying your projects on the web
By
Vihar Kurama
Articles
By
Vihar Kurama
NumPy Array Processing With Cython: 1250x Faster
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.
4 years ago
Implementing CycleGAN for Age Conversion
In this tutorial we'll train CycleGAN with Keras to generate images which age a subject's face, either forwards or backwards.
4 years ago
Boosting Python Scripts With Cython
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.
4 years ago
Why PyTorch Is the Deep Learning Framework of the Future
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.
By
Dhiraj K
3D
public
Animation of 3-D Models
part 4 of series on 3d modeling with python script in Blender. This part finishes the series off with a section on creating animations.
By
Bharath K
3D
public
Working On SMPL Models With Blender
Part 3 of series on 3d modeling with python script in Blender.
By
Bharath K
3D
public
Introduction To 3-D Modeling With Python Scripting In Blender
Part two of series on 3d modeling with python script in Blender.
By
Bharath K
Implementing Gradient Descent in Python, Part 4: Applying to Any Number of Neurons
In this tutorial, we extend our implementation of gradient descent to work with a single hidden layer with any number of neurons.
4 years ago
