The neural network won the 2012 ImageNet competition by recognizing objects in photos far better than any previous method. Computer vision veteran Yann LeCun, who attended the presentation in ...

Simple tools for Python language to plot learning curves of a neural network model trained with the keras or scikit-learn framework. Currently the lcurvetools package provides three functions: lcurves ...

Following is what you need for this book: This book is for machine learning practitioners and data scientists interested in learning about graph neural networks and their applications, as well as ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

We can use the shapely values to interpret our model. shap.initjs() # visualize the first prediction's explanation with a force plot shap.force_plot(e.expected_value[0], shap_values[0][0], features = ...

Even OpenAI’s GPT-3 language model can churn out simple pieces of code, such as web page layouts, from natural-language prompts. Gottschlich and his colleagues call this machine programming.