Accomplish TensorFlow confirmation with this complete aide covering all test themes utilizing an involved, bit-by-bit approach — ideal for trying TensorFlow designers
Key Features
* Construct genuine PC vision, regular language, and time series applications
* Figure out how to conquer issues, for example, overfitting with strategies like information increase
* Ace exchange realizing — what it is and how to fabricate applications with pre-prepared models
* Acquisition of the print or Ignite book incorporates a free PDF digital book
Book Description
The TensorFlow Designer Authentication Guide is a key asset for AI aficionados and information experts looking to dominate TensorFlow and approve their abilities by procuring the accreditation. This down-to-earth guide outfits you with the abilities and information important to construct hearty profound learning models that tackle certifiable difficulties across different businesses.
You'll set out on an excursion of expertise obtaining through simple-to-follow, bit-by-bit clarifications and reasonable models, dominating the specialty of building refined models utilizing TensorFlow 2. x and defeating normal obstacles, for example, overfitting and information expansion. With this book, you'll find many useful applications, including PC vision, regular language handling, and time series forecasts.
To set you up for the TensorFlow Engineer Testament test, it offers far-reaching inclusion of test points, including picture order, normal language handling (NLP), and time series investigation. With the TensorFlow certificate, you'll be prepared to handle an expansive range of business issues and advance your profession in the thrilling field of AI. Whether you are a beginner or an accomplished engineer, this guide will drive you to accomplish your goals and become a profoundly talented TensorFlow expert.
What you will realize
* Get ready for the outcome of the TensorFlow Designer Affirmation test
* Ace relapse and order displaying with TensorFlow 2. x
* Construct, train, assess, and tweak profound learning models
* Battle overfitting utilizing strategies like dropout and information expansion
* Group pictures, incorporating preprocessing and picture information expansion
* Apply TensorFlow for NLP undertakings like text grouping and age
* Foresee time series information, like stock costs
* Investigate genuine contextual analyses and take part in active activities
Who this book is for
This book is for AI and information science devotees, as well as information experts expecting to exhibit their ability to build profound learning applications with TensorFlow. Through an extensive active methodology, this book covers all the fundamental test requirements to furnish you with the abilities expected to succeed as a TensorFlow engineer and advance your profession in AI. A central handle of Python writing computer programs is the main essential.
Table of Contents
- Introduction to Machine Learning
- Introduction to Tensorflow
- Linear Regression with Tensorflow
- Classification with Tensorflow
- Image Classification with Neural Networks
- Improving the model
- Image Classification with Convolution Neural Networks
- Reinforcement learning with tensorflow
- Transfer Learning
- Introduction to Natural Language Processing
- Deploying models
- Hyperparameter Tuning
- Time Series, Sequence and Prediction with Tensorflow
