There are two versions of TensorFlow available for the Windows user, and these versions are:ĭownload the Anaconda version 4.3.1 for the required system, and this version is essential for Python 3.6. It can provide faster training by training algorithms. It means that the process of computations can be divided according to the devices to enhance the speed of the training with the help of parallelization. Installing TensorFlowīefore starting the process of installation, let's learn that TensorFlow supports multiple GPUs and CPUs. TensorFlow is used for the video detection system, which means it is helpful for motion detection or real-time threat detection systems.It is used for analyzing the data and separating the meaningful states of it, and the best example of this use case is online streaming platforms (Netflix, YouTube), it uses statistical data to provide the best user experiences.TensorFlow helps to improve the text-based recognition technology, and the best example is Google that supports various languages and the capability to transfer the text from one language to another.Voice and sound recognition process can be done through the TensorFlow, and it is also used for sentiment analysis or flaw detection.This technology is used for automatic image recognition systems because it consists of algorithms to identify shapes for modeling purposes.Most importantly, it supports production prediction at scale with exact models that are used for the training.įigure 1 TensorFlow logo Five main use cases of TensorFlow TensorFlow can run and train deep neural networks for image recognition, for handwritten digit classification, recurrent neural networks, word embeddings, and sequence-to-sequence models for natural language processing, PDE (partial differential equation) and machine translation. In simple words, TensorFlow is an open-source library for numerical computation, which is used to enhance the convenience and ease in machine learning, and it is an entirely Python friendly library. Step 3: Create the yml file for the device:.Step 2: Set and select the working directory.
Install tensorflow anaconda install#