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Getting Started with TensorFlow

Chapter 1: TensorFlow Fundamentals and Setup

Introduction to TensorFlow 2.x

Setting Up Your Development Environment

CPU vs GPU Considerations

Verifying Your Installation

The TensorFlow Ecosystem Overview

Quiz for Chapter 1

Chapter 2: Core TensorFlow Concepts

Understanding Tensors

Tensor Operations

Variables in TensorFlow

Automatic Differentiation with GradientTape

Introduction to tf.function

Practice: Tensor Manipulation and Gradients

Quiz for Chapter 2

Chapter 3: Building Models with Keras

Keras: TensorFlow's High-Level API

The Sequential Model API

Common Keras Layers

Activation Functions

The Functional API for Complex Models

Custom Layers and Models (Introduction)

Hands-on Practical: Building a Classifier

Quiz for Chapter 3

Chapter 4: Training and Evaluating Models

Compiling the Model: Loss Functions

Compiling the Model: Optimizers

Compiling the Model: Metrics

Training with model.fit()

Evaluating Model Performance with model.evaluate()

Making Predictions with model.predict()

Using Callbacks during Training

Visualizing Training with TensorBoard

Practice: Training and Monitoring

Quiz for Chapter 4

Chapter 5: Data Input Pipelines with tf.data

Creating Datasets from Tensors, NumPy, and Generators

Working with TFRecord Files

Applying Transformations: map()

Batching and Shuffling

Prefetching for Performance

Integrating tf.data with model.fit()

Image Data Augmentation with tf.data

Hands-on Practical: Building an Image Data Pipeline

Quiz for Chapter 5

Chapter 6: Saving and Loading Models

Why Save and Load Models?

Saving Checkpoints during Training

Saving Weights Only

Saving the Entire Model (Architecture + Weights + Optimizer State)

TensorFlow SavedModel Format

Loading Pre-trained Models

Introduction to TensorFlow Hub

Practice: Saving and Restoring Training

Quiz for Chapter 6

Quiz
Beta

Chapter: Data Input Pipelines with tf.data

Test your understanding and practice the concepts from this chapter

Quiz Instructions

This quiz contains 16 questions to help you practice.
You need to score at least 70% to pass.
Attempts: Unlimited.
Your highest score will be kept.
Please attempt this quiz without assistance; however, feel free to refer to the chapter notes or use a code interpreter if needed.
This assessment is for your learning and understanding, It is not formally accredited (yet).

Question Format

The questions are designed to be engaging, focusing on understanding, application, and interpretation rather than rote memorization. Expect scenario-based problems that test your ability to apply what you've learned.

Attempts

Best scores and quiz attempts will appear.

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