Book Image

TensorFlow Developer Certificate Guide

By : Oluwole Fagbohun
4 (2)
Book Image

TensorFlow Developer Certificate Guide

4 (2)
By: Oluwole Fagbohun

Overview of this book

The TensorFlow Developer Certificate Guide is an indispensable resource for machine learning enthusiasts and data professionals seeking to master TensorFlow and validate their skills by earning the certification. This practical guide equips you with the skills and knowledge necessary to build robust deep learning models that effectively tackle real-world challenges across diverse industries. You’ll embark on a journey of skill acquisition through easy-to-follow, step-by-step explanations and practical examples, mastering the craft of building sophisticated models using TensorFlow 2.x and overcoming common hurdles such as overfitting and data augmentation. With this book, you’ll discover a wide range of practical applications, including computer vision, natural language processing, and time series prediction. To prepare you for the TensorFlow Developer Certificate exam, it offers comprehensive coverage of exam topics, including image classification, natural language processing (NLP), and time series analysis. With the TensorFlow certification, you’ll be primed to tackle a broad spectrum of business problems and advance your career in the exciting field of machine learning. Whether you are a novice or an experienced developer, this guide will propel you to achieve your aspirations and become a highly skilled TensorFlow professional.
Table of Contents (20 chapters)
1
Part 1 – Introduction to TensorFlow
6
Part 2 – Image Classification with TensorFlow
12
Part 3 – Natural Language Processing with TensorFlow
15
Part 4 – Time Series with TensorFlow

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

accuracy 78

activation functions 99, 100

activation map 137

Adam optimizer 101, 107

modifying 126, 127

AG News dataset

used, for text classification 242-247

Anyverse.ai 116

Apple stock price data

forecasting 312-315

artificial intelligence (AI) 4

autoregressive integrated moving average (ARIMA) 268

B

backward propagation 101

baseline model 118

creating 169-171

Bidirectional Long Short-Term Memory (BiLSTM) 240

binary classification 76

binary cross-entropy 101

boundary problem 142

built-in callbacks

used, for early stopping 120-122

C

callbacks

used, for early stopping 120

categorical cross-entropy 101

character-level tokenization 209

classification 7

classification models

confusion matrix 77-79

evaluating...