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Deep Learning Fundamentals with Keras

Chapter 1: Introduction to Deep Learning Concepts

What is Deep Learning?

Artificial Neurons and Network Structure

Supervised Learning with Neural Networks

Introduction to Keras

Setting Up Your Keras Environment

Hands-on Practical: Environment Verification

Chapter 2: Building Neural Networks with Keras

The Sequential API

Common Layer Types: Dense

Activation Functions

Specifying Input Shape

The Functional API

Model Summary and Visualization

Practice: Building Your First Network with Keras

Quiz for Chapter 2

Chapter 3: Training Deep Neural Networks

The Compilation Step

Understanding Loss Functions

Optimization Algorithms

Backpropagation

The Training Loop: fit() Method

Batches and Epochs

Validation Data and Monitoring Performance

Model Evaluation: evaluate() Method

Hands-on Practical: Training a Simple Classifier

Quiz for Chapter 3

Chapter 4: Convolutional Neural Networks (CNNs)

Introduction to Convolutional Networks

Convolutional Layers (Conv2D)

Pooling Layers (MaxPooling2D)

Building a Simple CNN Architecture

Flattening and Dense Layers in CNNs

Working with Image Data in Keras

Understanding Feature Maps

Practice: Implementing a CNN for Image Classification

Quiz for Chapter 4

Chapter 5: Recurrent Neural Networks (RNNs)

Introduction to Sequence Data

Recurrent Neural Network Concepts

SimpleRNN Layer in Keras

The Vanishing Gradient Problem

Long Short-Term Memory (LSTM) Networks

LSTM Layer in Keras

Gated Recurrent Units (GRUs)

Preparing Sequence Data for RNNs

Practice: Building an RNN/LSTM for Text Classification

Quiz for Chapter 5

Chapter 6: Improving Model Performance and Workflow

Understanding Overfitting and Underfitting

Regularization Techniques: L1, L2, Dropout

Data Augmentation

Using Callbacks

Saving and Loading Models

Introduction to TensorBoard

Hyperparameter Tuning Concepts

Hands-on Practical: Applying Improvement Techniques

Quiz for Chapter 6

Quiz
Beta

Chapter: Improving Model Performance and Workflow

Test your understanding and practice the concepts from this chapter

Quiz Instructions

This quiz contains 14 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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