TensorFlow

Comparison | The Battle of Deep Learning Frameworks: TensorFlow vs PyTorch

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Comparison | The Battle of Deep Learning Frameworks: TensorFlow vs PyTorch

Deep Learning Frameworks Author: Horace He Revise: louwill source: https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/ For many practitioners in the deep learning industry, mastering one or more deep learning frameworks is one of the essential skills for daily work. After a period of chaos in the deep learning framework market, a dominant market structure has gradually formed with TensorFlow and … Read more

Image Recognition Based on TensorFlow and Keras

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Image Recognition Based on TensorFlow and Keras

Click on the above“Beginner Learning Vision” to choose to addStar or “Pin” Important content delivered at the first time Introduction One of the most common uses of TensorFlow and Keras is image recognition/classification. Through this article, you will learn how to achieve this using Keras. Definition If you do not understand the basic concepts of … Read more

TensorFlow 2.0: A Comprehensive Guide to Mastering in 30 Days

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TensorFlow 2.0: A Comprehensive Guide to Mastering in 30 Days

Follow the public account “ML_NLP” Set as “Starred”, heavy content will be delivered first! Source | Machine Heart “The official documentation is messy, the search function is difficult to use, and the API is hideous…” This is the complaint of many people about the TensorFlow official documentation. But complaints aside, in the industry, you cannot … Read more

Detailed Steps to Build Neural Network with TensorFlow

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Detailed Steps to Build Neural Network with TensorFlow

This article introduces how to build a simple neural network using Python 3.0 and TensorFlow 2.0 framework for basic image recognition. 1 Import Dataset from tensorflow import keras fashion_mnist = keras.datasets.fashion_mnist #devide the data into training and test: #train 60000 and test 10000 (train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data() This code imports the MNIST image … Read more

Overview of Global Deep Learning Frameworks: TensorFlow and PyTorch

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Overview of Global Deep Learning Frameworks: TensorFlow and PyTorch

Deep learning stands out in artificial intelligence, and to learn deep learning, one must first master an effective deep learning framework. This article will review the currently popular deep learning frameworks worldwide, enhancing everyone’s understanding of these frameworks based on their popularity and application scenarios. Without further ado, here is a chart showing the activity … Read more

Official TensorFlow 2.0 Distributed Training Tutorial

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Official TensorFlow 2.0 Distributed Training Tutorial

Click the above “Beginner Learning Vision” to select Star or Pin. Important content delivered promptly This article is transferred from | Computer Vision Alliance Overview tf.distribute.Strategy is a TensorFlow API used to distribute training across multiple GPUs, multiple machines, or TPUs. With this API, you can distribute existing models and training code with minimal code … Read more

Understanding TensorFlow: A Beginner’s Guide

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Understanding TensorFlow: A Beginner's Guide

From ｜jacobbuckman.com Author｜Jacob Buckman Compiled by｜Machine Heart (No Reposting), Xiaoshi Although for most people the development language of TensorFlow is Python, it is not a standard Python library. This neural network framework runs by constructing a “computation graph,” which can be quite confusing for many beginners trying to understand its logic. In this article, Jacob … Read more

Top 10 Machine Learning Libraries to Bookmark

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Top 10 Machine Learning Libraries to Bookmark

Source: Machine Learning Algorithms Python is arguably the sharpest weapon for machine learning; conversely, machine learning provides the power to expand influence and recreate brilliance for Python. The two complement each other to such an extent that whenever machine learning is mentioned, people naturally think of Python. Although this perspective may be somewhat narrow, there … Read more

Using GPU with TensorFlow: Specifying Device with tf.device Function

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Using GPU with TensorFlow: Specifying Device with tf.device Function

TensorFlow programs can specify the device for each operation using the tf.device function. This device can be a local CPU or GPU, or it can be a remote server. TensorFlow assigns a name to each available device, and the tf.device function can specify the device for executing operations using the device’s name. For example, the … Read more

Illustrated Guide to TensorFlow Data Reading Mechanism

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Illustrated Guide to TensorFlow Data Reading Mechanism

Review: Big Data Platform Technology Stack (ps: Click to view), today we will talk about TensorFlow! Source: Zhihu, Author: He Zhiyuan During the learning process of TensorFlow, many friends have reflected that reading data is quite difficult to understand. Indeed, the official tutorial on this is relatively brief, and there aren’t many suitable learning materials … Read more