DeepNude Algorithm Clothing Removal Principle Analysis

DeepNude Algorithm Clothing Removal Principle Analysis

DeepNude algorithm “removing” clothes – Welfare Bar http://fulibus.net/deepnude.html First, the file is as shown Deep learning computer vision (speculated) Image Inpainting You can refer to NVIDIA’s paper using partial convolution and partial convolution-based filling to repair images with irregular holes. The code part of the paper is converted. Paper address: https://arxiv.org/abs/1804.07723 and https://arxiv.org/abs/1811.11718 In the … Read more

TensorFlow Course Part 2

TensorFlow Course Part 2

Course Swift for TensorFlow Swift for TensorFlow combines the flexibility of Eager Execution with the high performance of graphs and sessions. Swift can analyze your Tensor code in the background and automatically build graphs. It also captures type errors and shape mismatches before running the code, allows input from any Python library, and features language-integrated … Read more

TensorFlow Installation Guide – Using Pip to Install TensorFlow

TensorFlow Installation Guide - Using Pip to Install TensorFlow

There are many ways to install TensorFlow. This article will provide a detailed guide on how to install TensorFlow using pip. Available Installation Packages tensorflow — Current version for CPU only (recommended for beginners) tensorflow-gpu — Current version with GPU support (Ubuntu and Windows) tf-nightly — Nightly build for CPU only (unstable) tf-nightly-gpu — Nightly … Read more

Implementing Image Inpainting with TensorFlow and Deep Learning

Implementing Image Inpainting with TensorFlow and Deep Learning

Big Data Digest article, see the end of the article for reposting requirements Author | Brandon Amos Translation | Molly, Han Xiaoyang Table of Contents ■ Introduction ■ Step 1: Understanding Images as Samples from a Probability Distribution How do you fill in missing information? But how do you start with statistics? These are all … Read more

A Simple and Direct Guide to TensorFlow

A Simple and Direct Guide to TensorFlow

Google has many GDEs (Google Developers Experts) around the world, all of whom are recognized experts by Google. GDEs are committed to spreading and promoting new technologies in various forms and helping developers solve problems encountered during the development process. Each GDE has made special contributions to their respective fields. The author of “A Simple … Read more

In-Depth Imaging: A Pathology Diagnosis System Based on TensorFlow

In-Depth Imaging: A Pathology Diagnosis System Based on TensorFlow

By / Wang Shuhao 1. The Intelligent Path to Pathological Diagnosis According to the World Health Organization (WHO), malignant tumors are the second leading cause of death globally, causing nearly ten million deaths each year. The diagnosis of malignant tumors requires sufficient evidence, with histopathological diagnosis being the most reliable method for tumor diagnosis, serving … Read more

Implementing Visual Wake Words Using TensorFlow Lite Micro

Implementing Visual Wake Words Using TensorFlow Lite Micro

By / Aakanksha Chowdhery, Software Engineer Why don’t you get a response when you say “Yo Google” to Google Assistant? After all, it’s only one word different from “Ok Google”. This is because Google Assistant recognizes only these two words as ‘wake words’. Wake words are crucial for low-power machine learning design, where models with … Read more

AMD ROCm GPU Support for TensorFlow

AMD ROCm GPU Support for TensorFlow

By / AMD Deep Learning Software Director Mayank Daga We are excited to announce the launch of TensorFlow v1.8 for ROCm GPUs, which includes the Radeon Instinct MI25. This is a significant milestone for AMD’s ongoing deep learning acceleration efforts. ROCm, which stands for Radeon Open Ecosystem, is our open-source software foundation for GPU computing … Read more

TensorFlow 2 Models: Deep Reinforcement Learning

TensorFlow 2 Models: Deep Reinforcement Learning

By / Li Xihan, Google Developers Expert This article is excerpted from “Simple and Brutal TensorFlow 2”, reply “Manual” to get the collection. It should have been introduced long ago, the deep reinforcement learning in TensorFlow, yes, it is finally done! This article will introduce the process of implementing the Q-learning algorithm using TensorFlow in … Read more

Leveraging TensorFlow.js in Medical Imaging

Leveraging TensorFlow.js in Medical Imaging

Guest Blog Author: Dr. Erwin John T. Carpio As a physician and radiologist, I have always wanted to learn and develop machine learning models and apply them to my field. However, machine learning felt like a foreign language to me, and with my limited programming experience and non-computer science background, I thought it was challenging … Read more