Book Image

Hands-On Neural Network Programming with TensorFlow [Video]

By : Harveen Singh Chadha
Book Image

Hands-On Neural Network Programming with TensorFlow [Video]

By: Harveen Singh Chadha

Overview of this book

<p>Ever wondered how you can solve everyday data problems quickly and easily like automating text processing, classifying images, and predicting results? Neural networks and Tensorflow, one of the most powerful technologies, will come to your rescue. These are important technologies for data scientists to know because they are often more powerful than traditional machine learning techniques.</p> <p>In this course, you'll use neural nets to solve business and other real-world problems and make predictions quickly and easily. You'll program a machine to identify a human face, predict stock market prices, and process text as part of Natural Language Processing (NLP). You'll also gain experience using generative models and autoencoders to create artwork and enhance images.</p> <p>By the end of this course, you will be able to tackle a range of challenges beyond this course and will have a fair understanding of how you can use the power of TensorFlow to train neural networks of varying complexities, without any hassle.</p> <p>All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/Hands-On-Neural-Network-Programming-with-TensorFlow</p> <h1>Style and Approach</h1> <p>The course gives you hands-on experience with neural networks and deep learning to teach you the basics so you can apply them yourself.</p>
Table of Contents (7 chapters)
Chapter 1
Artificial Neural Networks
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Section 3
Setting Up Environment
This video aims to assist you in setting up environment in five basic steps. - Download and install Miniconda. Then validate Miniconda and the Python installation. - Create a new environment - Install Jupyter Notebook. Then validate the installation.