The execution of command is displayed below − Pip is a command used for executing and installing modules in Python.īefore we install TensorFlow, we need to install Anaconda framework in our system.Īfter successful installation, check in command prompt through “conda” command. Step 2 − A user can pick up any mechanism to install TensorFlow in the system. Step 1 − Verify the python version being installed. Python version 3.4+ is considered the best to start with TensorFlow installation.Ĭonsider the following steps to install TensorFlow in Windows operating system. To install TensorFlow, it is important to have “Python” installed in your system. TensorFlow can train and run deep neural networks for handwritten digit classification, image recognition, word embedding and creation of various sequence models. It includes a variety of machine learning and deep learning algorithms. TensorFlow is also called a “Google” product. It offers a few important functionalities and methods for the same. TensorFlow is well-documented and includes plenty of machine learning libraries. It also includes a unique feature of optimization of same memory and the data used. TensorFlow uses GPU computing, automating management. It includes a high scalable feature of computation with various data sets. It includes a programming support of deep neural networks and machine learning techniques. It includes a feature of that defines, optimizes and calculates mathematical expressions easily with the help of multi-dimensional arrays called tensors. Let us now consider the following important features of TensorFlow − The official website of TensorFlow is mentioned below − It combines the computational algebra of optimization techniques for easy calculation of many mathematical expressions. TensorFlow is a software library or framework, designed by the Google team to implement machine learning and deep learning concepts in the easiest manner. Recommendations for Neural Network Training.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |