TensorFlow 1.4 Tutorial – Get Started with Deep Learning

TensorFlow 1.4 Tutorial – Get Started with Deep Learning

TensorFlow 1.4 Tutorial – Get Started with Deep Learning. In this tutorial, we’ll cover the basics of TensorFlow, how to create a simple neural network, and train it to recognize handwritten digits.

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Introduction to TensorFlow 1.4

TensorFlow is a powerful tool for machine learning and deep learning, developed by Google Brain. It allows you to create sophisticated models with ease, and has a wide range of applications in image recognition, natural language processing, and time series analysis.

In this tutorial, we’ll be covering the basic concepts of TensorFlow 1.4, and how to get started with building your own models. We’ll also be covering some of the new features in TensorFlow 1.4, such as the eager execution mode and the dataset API. By the end of this tutorial, you’ll be able to build and train simple machine learning models in TensorFlow 1.4.

What’s new in TensorFlow 1.4?

TensorFlow 1.4 is the latest version of TensorFlow, released in November 2017. This tutorial will show you how to get started with TensorFlow 1.4 and deep learning.

Some of the new features in TensorFlow 1.4 include:

– Eager Execution: This makes it easier to get started with TensorFlow, as it allows you to execute code without creating a session. Eager Execution is turned on by default in TensorFlow 1.4.

– Support for Java 8: TensorFlow 1.4 now supports Java 8, making it easier to use TensorFlow with the Java programming language.

– Improved GPU support: TensorFlow 1.4 includes improved GPU support, including support for the upcoming Volta GPUs from NVIDIA.

– Support for CuDNN 7: TensorFlow 1.4 now supports CuDNN 7, which provides significant performance improvements over previous versions of CuDNN.

Getting started with TensorFlow 1.4

TensorFlow is a powerful tool for deep learning, and the 1.4 release marks a significant milestone in the development of this open source software library. In this tutorial, we’ll show you how to get started with TensorFlow 1.4 on your own machine.

First, make sure you have Python 3 installed on your system. TensorFlow 1.4 requires Python 3.5 or higher. You can check your Python version by running the following command:

python – version
If you don’t have Python 3 installed, or if your version is lower than 3.5, follow these instructions to install it.

Once you have Python 3 up and running, install TensorFlow 1.4 by running the following command:

pip install tensorflow==1.4
This will install the latest stable release of TensorFlow 1.4 for your system (currently 1.4.0). If you want to install a specific version of TensorFlow (e.g., 1.4.1), simply specify the version number like this:

pip install tensorflow==1.4

Deep learning with TensorFlow 1.4

Deep learning is a branch of machine learning that deals with multi-layered artificial neural networks. TensorFlow is an open-source software library for deep learning applications. In this tutorial, you will learn how to set up TensorFlow 1.4 on your machine and get started with Deep Learning.

TensorFlow 1.4 and beyond

This tutorial is meant to help you get started with TensorFlow 1.4 and beyond. We’ll go over some of the basics of deep learning, such as network architectures and training algorithms, and then we’ll jump into TensorFlow and start building our own models. By the end of this tutorial, you’ll be able to build simple but effective deep learning models with TensorFlow.

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