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Python tutorial: Creating contour plots with NumPy meshgrid

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...
marktechpost

Ivy Framework Agnostic Machine Learning Build, Transpile, and Benchmark Across All Major Backends

In this tutorial, we explore Ivy’s remarkable ability to unify machine learning development across frameworks. We begin by writing a fully framework-agnostic neural network that runs seamlessly on ...
GitHub

low-level-api-tensorflow

Transfer learning in TensorFlow/Keras using ImageNet-pretrained CNNs (e.g., VGG16, ResNet50) for CIFAR-10 classification. Demonstrates feature extraction, custom classifier heads, and fine-tuning ...
Hacker

Your One-Stop Guide to All the Type Promotion Changes in TensorFlow 2.15

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach ...
GitHub

Label map id 0 is reserved for the background label

when i run the python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config..... (tf) D:\Anaconda\envs\tf ...
marktechpost

NVIDIA AI Releases cuPyNumeric: A Drop-in Replacement Library for NumPy Bringing Distributed and Accelerated Computing for Python

One of the long-standing bottlenecks for researchers and data scientists is the inherent limitation of the tools they use for numerical computation. NumPy, the go-to library for numerical operations ...
IEEE

NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing

Abstract: NARA-WPE is a Python software package providing implementations of the weighted prediction error (WPE) dereverberation algorithm. WPE has been shown to be a ...
insideHPC

TensorFlow Tutorial – Simple Linear Model

In this excellent tutorial video presentation below, Magnus Erik Hvass Pedersen demonstrates the basic workflow of using TensorFlow with a simple linear model. After loading the so-called MNIST ...