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The Deep Learning Workshop

You're reading from   The Deep Learning Workshop Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839219856
Length 474 pages
Edition 1st Edition
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Authors (5):
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Nipun Sadvilkar Nipun Sadvilkar
Author Profile Icon Nipun Sadvilkar
Nipun Sadvilkar
Thomas Joseph Thomas Joseph
Author Profile Icon Thomas Joseph
Thomas Joseph
Anthony So Anthony So
Author Profile Icon Anthony So
Anthony So
Mohan Kumar Silaparasetty Mohan Kumar Silaparasetty
Author Profile Icon Mohan Kumar Silaparasetty
Mohan Kumar Silaparasetty
Mirza Rahim Baig Mirza Rahim Baig
Author Profile Icon Mirza Rahim Baig
Mirza Rahim Baig
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Toc

Table of Contents (9) Chapters Close

Preface
1. Building Blocks of Deep Learning 2. Neural Networks FREE CHAPTER 3. Image Classification with Convolutional Neural Networks (CNNs) 4. Deep Learning for Text – Embeddings 5. Deep Learning for Sequences 6. LSTMs, GRUs, and Advanced RNNs 7. Generative Adversarial Networks Appendix

1. Building Blocks of Deep Learning

Activity 1.01: Solving a Quadratic Equation Using an Optimizer

Solution

Let's solve the following quadratic equation:

Figure 1.29: Quadratic equation to be solved

We already know that the solution to this quadratic equation is x=5.

We can use an optimizer to solve this. For the optimizer, x is the variable and the cost function is the left-hand side expression, which is as follows:

Figure 1.30: Left-hand side expression

The optimizer will find the value of x for which the expression is the minimum – in this case, it is 0. Please note that this will work only for quadratic equations that are perfect squares, such as in this case. The left-hand side expression is a perfect square that can be explained with the following equation:

Figure 1.31: Perfect square

Now, let's look at the code for solving this:

  1. Open a new Jupyter Notebook and rename...
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