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
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
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
Click on the above “Beginner Learning Vision”, choose to add Star or Top ” Important content delivered at the first time Author | Rohan Jagtap Compiled by | ronghuaiyang Source | AI Park TensorFlow 2.x provides a lot of simplicity in building models and the overall use of TensorFlow. In this article, we will explore … Read more
1. Introduction: This installation of TensorFlow is based on Python, and the process of installing Python will not be explained (since you’ve decided to install it, you should definitely understand Python first): This tutorial covers the process of installing TensorFlow on Windows using Anaconda (CPU version, as the GPU version is not supported…) 2. Installation … Read more
1. What is TensorFlow? The name TensorFlow comes from the flow (Flow) of tensors (Tensor) in a computational graph (Computational Graph), as shown in the diagram. Its foundation is based on the automatic differentiation introduced earlier based on computational graphs. In addition to automatically calculating gradients, it also provides various common operations (op, which are … Read more
1. Installing TensorFlow 1. Install from Binary using pip Note: The link to the latest version of the binary files can be obtained from the TensorFlow official website here. Please install the latest version of pip, or use pip install –upgrade pip to update. If installing the GPU version, please ensure that CUDA is installed … Read more
This article mainly introduces the configuration of TensorFlow on MacOS 12.x, aiming to help beginner machine learning users on Mac avoid some detours. In general, configuring the Mac version of TensorFlow only requires three steps: the first step is to set up a virtual environment, it is recommended to choose Miniconda; the second step is … Read more
This article contains 7196 words, and it is recommended to read in 10 minutes This article explains how to use TensorFlow for machine learning and deep learning. 1. Introduction The success of deep learning algorithms has led to groundbreaking advances in artificial intelligence research and applications, greatly changing our lives. More and more developers are … Read more
Introduction The main difference between the CPU version and the GPU version is the running speed; the GPU version runs faster. Therefore, if your computer’s graphics card supports CUDA, it is recommended to install the GPU version. The CPU version requires no additional preparation and can generally be installed on any computer without needing a … Read more