Posted by the TensorFlow teamTensorFlow 2.16 has been released! Highlights of this release (and 2.15) include Clang as default compiler for building TensorFlow CPU wheels on Windows, Keras 3 as default version, support for Python 3.12, and much more! For the full release note, please click here.| The TensorFlow Blog
Posted by the TensorFlow teamWe are releasing a hot-fix for an installation issue affecting the TensorFlow installation process. The TensorFlow 2.15.0 Python package was released such that it requested tensorrt-related packages that cannot be found unless the user installs them beforehand or provides additional installation flags. This dependency affected anyone installing TensorFlow 2.15 alongside NVIDIA CUDA dependencies via pip install tensorflow[and-cuda]. Depending on the installation me...| The TensorFlow Blog
Posted by the TensorFlow teamTensorFlow 2.15 has been released! Highlights of this release (and 2.14) include a much simpler installation method for NVIDIA CUDA libraries for Linux, oneDNN CPU performance optimizations for Windows x64 and x86, full availability of tf.function types, an upgrade to Clang 17.0.1, and much more! For the full release note, please check here.| The TensorFlow Blog
Posted by the TensorFlow and Keras TeamsTensorFlow 2.13 and Keras 2.13 have been released! Highlights of this release include publishing Apple Silicon wheels, the new Keras V3 format being default for .keras extension files and many more!| The TensorFlow Blog
Data augmentation is a process of increasing the quantity of data artificially by generating new data points from the existing data.| GeekPython - Python Programming Tutorials
Transfer learning is used in machine learning and is a method in which already-trained or pre-trained neural networks are present and these pre-trained neural| GeekPython - Python Programming Tutorials
In this post we’ll talk about two topics I love and that have been central elements of my (private) research for the last ~7 years: machi| evilsocket
It’s been a while that i’ve been quite intensively playing with Deep Learning both for work related research and personal projects. More specifically, I’ve been using the Keras framework on top of a TensorFlow backend for all sorts of stuff. From big and complex projects for malware detection, to smaller and simpler experiments about ideas i just wanted to quickly implement and test - it didn’t really matter the scope of the project, I always found myself struggling with the same issu...| evilsocket
Cet article est un guide à l’attention des débutants en Intelligence Artificielle qui souhaite commencer à apprendre le Deep Learning. Comment ne pas avoir entendu parler de l’Intelligence Artificielle à notre époque? De ChatGPT, en passant par AlphaFold et les voitures autonomes, pour arriver à Midjourney, il est aujourd’hui clair que l’IA n’est plus de […] L’article Commencer le Deep Learning en 2024 – Meilleur Guide Simple est apparu en premier sur Inside Machine Lear...| Inside Machine Learning
Spotify shares how they use TensorFlow and Reinforcement Learning to train models offline, translating results to large scale, online performance.| blog.tensorflow.org
Learn how to Sentence Transformers model with TensorFlow and Keras for creating document embeddings| www.philschmid.de
En este artículo podrás ver de manera práctica cómo crear tu propio detector de objetos que podrás utilizar con imagenes estáticas, video o cámara. Avanzaremos paso a paso en una Jupyter Notebook con el código completo usando redes neuronales profundas con Keras sobre Tensorflow.| Aprende Machine Learning