The
Deep
Learning
with Keras
Workshop

Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning models.

Get Started with Deep Learning Today

You'll be up and running with deep learning in no time at all.

$34.99

$34.99The Deep Learning with Keras Workshop

Unlock one year of full, unlimited access!

Buy Now

Learning Made Simple

Nobody likes going through hundreds of pages of dry theory, or struggling with uninteresting examples that don’t compile. We've got you covered. Any time, any device.

Learn by doing real-world development, supported every step of the way with step-by-step examples and expert screencasts.
Become a verified practitioner and earn an authenticated digital certificate from Packt upon successful completion.
Manage your learning based on your personal schedule, with content that lets you pause and resume your progress at will.

A Smarter Way to Learn DL

A step-by-step, focused approach to getting up and running with real-world deep learning in no time at all.

The Deep Learning with Keras Workshop is ideal if you're looking for a structured, hands-on approach to get started with deep learning.

Buy Now

Course Curriculum

An A to Z tour of deep learning.

Workshop Onboarding
1. Introduction to Machine Learning with Keras
2. Machine Learning versus Deep Learning
- Overview
- Advantages of ANNs over Traditional Machine Learning Algorithms
- Linear Transformations
- Exercise 2.01: Performing Various Operations with Vectors, Matrices, and Tensors
- Reshaping
- Exercise 2.02: Matrix Reshaping and Transposition
- Matrix Multiplication
- Exercise 2.03: Matrix Multiplication
- Exercise 2.04: Tensor Multiplication
- Introduction to Keras
- Activity 2.01: Creating a Logistic Regression Model Using Keras
- Activity 2.01: Creating a Logistic Regression Model Using Keras
- Summary
- Survey I
3. Deep Learning with Keras
- Overview
- Building Your First Neural Network
- Exercise 3.01: Neural Network Implementation with Keras
- Activity 3.01: Building a Single-Layer Neural Network for Performing Binary Classification
- Activity 3.01: Building a Single-Layer Neural Network for Performing Binary Classification
- Model Evaluation
- Activity 3.02: Advanced Fibrosis Diagnosis with Neural Networks
- Activity 3.02: Advanced Fibrosis Diagnosis with Neural Networks
- Summary
4. Evaluating Your Model with CrossValidation Using Keras Wrappers
- Overview
- Cross-Validation
- Cross-Validation for Deep Learning Models
- Exercise 4.01: Building the Keras Wrapper with scikit-learn for a Regression Problem
- Cross-Validation with scikit-learn
- Exercise 4.02: Evaluating Deep Neural Networks with Cross-Validation
- Activity 4.01: Model Evaluation Using Cross-Validation for an Advanced Fibrosis Diagnosis Classifier
- Activity 4.01: Model Evaluation Using Cross-Validation for an Advanced Fibrosis Diagnosis Classifier
- Model Selection with Cross-Validation
- Exercise 4.03: Writing User-Defined Functions to Implement Deep Learning Models with Cross-Validation
- Activity 4.02: Model Selection Using Cross-Validation for the Advanced Fibrosis Diagnosis Classifier
- Activity 4.02: Model Selection Using Cross-Validation for the Advanced Fibrosis Diagnosis Classifier
- Activity 4.03: Model Selection Using Cross-validation on a Traffic Volume Dataset
- Activity 4.03: Model Selection Using Cross-validation on a Traffic Volume Dataset
- Summary
5. Improving Model Accuracy
- Overview
- Regularization
- L1 and L2 Regularization
- Activity 5.01: Weight Regularization on an Avila Pattern Classifier
- Activity 5.01: Weight Regularization on an Avila Pattern Classifier
- Dropout Regularization
- Exercise 5.01: Dropout Implementation in Keras
- Activity 5.02: Dropout Regularization on the Traffic Volume Dataset
- Activity 5.02: Dropout Regularization on the Traffic Volume Dataset
- Other Regularization Methods
- Exercise 5.02: Implementing Early Stopping in Keras
- Data Augmentation
- Hyperparameter Tuning with scikit-learn
- Activity 5.03: Hyperparameter Tuning on the Avila Pattern Classifier
- Activity 5.03: Hyperparameter Tuning on the Avila Pattern Classifier
- Summary
- Survey II
6. Model Evaluation
- Overview
- Accuracy
- Exercise 6.01: Calculating Null Accuracy on a Pacific Hurricanes Dataset
- Imbalanced Datasets
- Confusion Matrix
- Exercise 6.02: Computing Accuracy and Null Accuracy with APS Failure for Scania Trucks Data
- Activity 6.01: Computing the Accuracy and Null Accuracy of a Neural Network When We Change the Train/Test Split
- Activity 6.01: Computing the Accuracy and Null Accuracy of a Neural Network When We Change the Train/Test Split
- Exercise 6.03: Deriving and Computing Metrics Based on a Confusion Matrix
- Activity 6.02: Calculating the ROC Curve and AUC Score
- Activity 6.02: Calculating the ROC Curve and AUC Score
- Summary
7. Computer Vision with Convolutional Neural Networks
- Overview
- Computer Vision
- The Architecture of a CNN
- Image Augmentation
- Exercise 7.01: Building a CNN and Identifying Images of Cars and Flowers
- Activity 7.01: Amending Our Model with Multiple Layers and the Use of softmax
- Activity 7.01: Amending Our Model with Multiple Layers and the Use of softmax
- Exercise 7.02: Amending Our Model by Reverting to the Sigmoid Activation Function
- Exercise 7.03: Changing the Optimizer from Adam to SGD
- Exercise 7.04: Classifying a New Image
- Activity 7.02: Classifying a New Image
- Activity 7.02: Classifying a New Image
- Summary
8. Transfer Learning and Pre-Trained Models
- Overview
- Pre-Trained Sets and Transfer Learning
- Fine-Tuning a Pre-Trained Network
- Exercise 8.01: Identifying an Image Using the VGG16 Network
- Activity 8.01: Using the VGG16 Network to Train a Deep Learning Network to Identify Images
- Activity 8.01: Using the VGG16 Network to Train a Deep Learning Network to Identify Images
- Exercise 8.02: Classifying Images That Are Not Present in the ImageNet Database
- Exercise 8.03: Fine-Tuning the VGG16 Model
- Exercise 8.04: Image Classification with ResNet
- Activity 8.02: Image Classification with ResNet
- Activity 8.02: Image Classification with ResNet
- Summary
- Survey III
9. Sequential Modeling with Recurrent Neural Networks
- Overview
- Sequential Memory and Sequential Modeling
- Long Short-Term Memory (LSTM)
- Exercise 9.01: Predicting the Trend of Alphabet's Stock Price Using an LSTM with 50 Units (Neurons)
- Activity 9.01: Predicting the Trend of Amazon's Stock Price Using an LSTM with 50 Units (Neurons)
- Activity 9.01: Predicting the Trend of Amazon's Stock Price Using an LSTM with 50 Units (Neurons)
- Exercise 9.02: Predicting the Trend of Alphabet's Stock Price Using an LSTM with 100 units
- Activity 9.02: Predicting Amazon's Stock Price with Added Regularization
- Activity 9.02: Predicting Amazon's Stock Price with Added Regularization
- Activity 9.03: Predicting the Trend of Amazon's Stock Price Using an LSTM with an Increasing Number of LSTM Neurons (100 Units)
- Activity 9.03: Predicting the Trend of Amazon's Stock Price Using an LSTM with an Increasing Number of LSTM Neurons (100 Units)
- Summary

Hack Your Brain

We've applied the latest pedagogical techniques to deliver a truly multimodal experience. It'll keep you engaged and make the learning stick. It's science!
Build Real Things

Nobody likes wasting their time. We cut right to the action and get you building real skills that real, working developers value. The perfect approach for a career move.
Learn From Experts

We've paired technical experts with top editorial talent. They've worked hard to deliver you the maximum impact for each minute you spend learning. It's our secret sauce.

Get Verified

Complete The Deep Learning with Keras Workshop to unlock your very own Packt certificate.

Unlock your own digital certificate by completing all activities. Designed to be easy to share with potential employers on LinkedIn, as well as other popular social media channels.

Take A Step Forward

There has never been a better time to get started with deep learning.

$34.99

$34.99The Deep Learning with Keras Workshop

Unlock one year of full, unlimited access!

Buy Now

Need More Python Data Science?

Don't worry, we've got your back with other workshops too!

Show me my options!

$34.99

$34.99The Deep Learning with Keras Workshop

Hack Your Brain

Build Real Things

Learn From Experts

$34.99

$34.99The Deep Learning with Keras Workshop