How Long to Read Keras 2.x Projects

How Long Does it Take to Read Keras 2.x Projects?

It takes the average reader 6 hours and 35 minutes to read Keras 2.x Projects by Giuseppe Ciaburro

Assuming a reading speed of 250 words per minute. Learn more

Description

Demonstrate fundamentals of Deep Learning and neural network methodologies using Keras 2.x Key FeaturesExperimental projects showcasing the implementation of high-performance deep learning models with Keras.Use-cases across reinforcement learning, natural language processing, GANs and computer vision.Build strong fundamentals of Keras in the area of deep learning and artificial intelligence.Book Description Keras 2.x Projects explains how to leverage the power of Keras to build and train state-of-the-art deep learning models through a series of practical projects that look at a range of real-world application areas. To begin with, you will quickly set up a deep learning environment by installing the Keras library. Through each of the projects, you will explore and learn the advanced concepts of deep learning and will learn how to compute and run your deep learning models using the advanced offerings of Keras. You will train fully-connected multilayer networks, convolutional neural networks, recurrent neural networks, autoencoders and generative adversarial networks using real-world training datasets. The projects you will undertake are all based on real-world scenarios of all complexity levels, covering topics such as language recognition, stock volatility, energy consumption prediction, faster object classification for self-driving vehicles, and more. By the end of this book, you will be well versed with deep learning and its implementation with Keras. You will have all the knowledge you need to train your own deep learning models to solve different kinds of problems. What you will learnApply regression methods to your data and understand how the regression algorithm worksUnderstand the basic concepts of classification methods and how to implement them in the Keras environmentImport and organize data for neural network classification analysisLearn about the role of rectified linear units in the Keras network architectureImplement a recurrent neural network to classify the sentiment of sentences from movie reviewsSet the embedding layer and the tensor sizes of a networkWho this book is for If you are a data scientist, machine learning engineer, deep learning practitioner or an AI engineer who wants to build speedy intelligent applications with minimal lines of codes, then this book is the best fit for you. Sound knowledge of machine learning and basic familiarity with Keras library would be useful.

How long is Keras 2.x Projects?

Keras 2.x Projects by Giuseppe Ciaburro is 386 pages long, and a total of 98,816 words.

This makes it 130% the length of the average book. It also has 121% more words than the average book.

How Long Does it Take to Read Keras 2.x Projects Aloud?

The average oral reading speed is 183 words per minute. This means it takes 8 hours and 59 minutes to read Keras 2.x Projects aloud.

What Reading Level is Keras 2.x Projects?

Keras 2.x Projects is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Keras 2.x Projects?

Keras 2.x Projects by Giuseppe Ciaburro is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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