Neural

Solving XOR gate problem— using just NumPy, then compare with PyTorch implementation.Outline・Introduction to the XOR Gate Problem・Constructing a 2-Layer Neural Network・Forward Propagation・Chain Rules for Backpropagation・Implementation with NumPy・Comparing Results with PyTorch・Summary・ReferencesIntroduction to the XOR Gate...

Let’s implement a regression example where the aim is to coach a network to predict the worth of a node given the worth of all other nodes i.e. each node has a single feature...

Computational models that mimic the structure and performance of the human auditory...

How you can improve training beyond the “vanilla” gradient descent algorithmIn my last post, we discussed how you possibly can improve the performance of neural networks through hyperparameter tuning:This can be a process whereby...

How you possibly can improve the “learning” and “training” of neural networks through tuning hyperparametersEach hidden-layer neuron carries out the next computation:

Connectomics, the ambitious field of study that seeks to map the intricate...

An example of predicting bulk density (RHOB) with Keras and illustrating impacts of normalisation on prediction results11 min read·16 hours agoLarge amounts of information are acquired each day from wells around the globe. Nevertheless,...

Within the ever-evolving world of artificial intelligence (AI), scientists have recently heralded a big milestone. They've crafted a neural network that exhibits a human-like proficiency in language generalization. This groundbreaking development isn't only a...