Book Image

Tensorflow Deep Learning Solutions for Images [Video]

By : Will Ballard
Book Image

Tensorflow Deep Learning Solutions for Images [Video]

By: Will Ballard

Overview of this book

<p><span id="description" class="sugar_field">Tensorflow is Google’s popular offering for machine learning and deep learning. It has quickly become a popular choice of tool for performing fast, efficient, and accurate deep learning. This course presents the implementation of practical, real-world projects, teaching you how to leverage Tensforflow’s capabilties to perform efficient deep learning. </span></p> <p><span id="description" class="sugar_field">In this video, you will be acquainted with the different paradigms of performing deep learning such as deep neural nets, convolutional neural networks, recurrent neural networks, and more, and how they can be implemented using Tensorflow.</span></p> <p><span id="description" class="sugar_field">This will be demonstrated with the help of end-to-end implementations of three real-world projects on popular topic areas such as natural language processing, image classification, fraud detection, and more. By the end of this course, you will have mastered all the concepts of deep learning and their implementation with Tensorflow and Keras.</span></p> <h2><span class="sugar_field">Style and Approach</span></h2> <p><span class="sugar_field"><span id="trade_selling_points_c" class="sugar_field">This course takes a step-by-step approach, helping you explore all the functioning of TensorFlow.</span></span></p>
Table of Contents (5 chapters)
Chapter 3
Classical Neural Network
Content Locked
Section 5
Dropout and Flatten
What are dropout and flatten layers and when do we use them in networks? - Use Keras functional model and input layers - Use the dropout layer to improve learning - Use the flatten layer to make layer and tensor shapes compatible