Keras Beyond Basics and Python Mastery for Intermediate Programmers
Keras Beyond Basics: An Intermediate Guide to Deep Learning In this ebook, you'll embark on a journey that delves
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English Pages 305 Year 2023
Table of contents :
**Chapter 1: Introduction to Deep Learning with Keras**
**Chapter 2: Understanding Neural Networks**
**Chapter 3: Building Your First Neural Network**
**Chapter 4: Advanced Layers and Activation Functions**
**Chapter 5: Optimizers and Loss Functions**
**Chapter 6: Training Deep Neural Networks**
**Chapter 7: Regularization Techniques**
**Chapter 8: Convolutional Neural Networks (CNNs)**
**Chapter 9: Recurrent Neural Networks (RNNs)**
**Chapter 10: Transfer Learning with Keras**
**Chapter 11: Natural Language Processing (NLP) with Keras**
**Chapter 12: Image Classification with Keras**
**Chapter 13: Object Detection with Keras**
**Chapter 14: Generative Adversarial Networks (GANs)**
**Chapter 15: Deploying Keras Models**
PYTHON MASTERY FOR INTERMEDIATE PROGRAMMERS
Chapter 1: Introduction to Python and Intermediate Concepts
Chapter 2: Understanding Python Data Structures
Chapter 3: Mastering Functions and Lambdas
Chapter 4: Advanced Object-Oriented Programming in Python
Chapter 5: Exploring Python Modules and Packages
Chapter 6: File Handling and Input/Output Operations
Chapter 7: Concurrency and Multithreading in Python
Chapter 8: Web Scraping and Automation with Python
Chapter 9: Data Analysis and Visualization with Python
Chapter 10: Working with Databases and SQL in Python
Chapter 11: Machine Learning Techniques with Python
Chapter 12: Building Web Applications using Django
Chapter 13: Network Programming and Sockets in Python
Chapter 14: Python for Cybersecurity and Ethical Hacking
Chapter 15: Tips for Writing Efficient and Optimized Python Code
**Chapter 1: Introduction to Deep Learning with Keras**
**Chapter 2: Understanding Neural Networks**
**Chapter 3: Building Your First Neural Network**
**Chapter 4: Advanced Layers and Activation Functions**
**Chapter 5: Optimizers and Loss Functions**
**Chapter 6: Training Deep Neural Networks**
**Chapter 7: Regularization Techniques**
**Chapter 8: Convolutional Neural Networks (CNNs)**
**Chapter 9: Recurrent Neural Networks (RNNs)**
**Chapter 10: Transfer Learning with Keras**
**Chapter 11: Natural Language Processing (NLP) with Keras**
**Chapter 12: Image Classification with Keras**
**Chapter 13: Object Detection with Keras**
**Chapter 14: Generative Adversarial Networks (GANs)**
**Chapter 15: Deploying Keras Models**
PYTHON MASTERY FOR INTERMEDIATE PROGRAMMERS
Chapter 1: Introduction to Python and Intermediate Concepts
Chapter 2: Understanding Python Data Structures
Chapter 3: Mastering Functions and Lambdas
Chapter 4: Advanced Object-Oriented Programming in Python
Chapter 5: Exploring Python Modules and Packages
Chapter 6: File Handling and Input/Output Operations
Chapter 7: Concurrency and Multithreading in Python
Chapter 8: Web Scraping and Automation with Python
Chapter 9: Data Analysis and Visualization with Python
Chapter 10: Working with Databases and SQL in Python
Chapter 11: Machine Learning Techniques with Python
Chapter 12: Building Web Applications using Django
Chapter 13: Network Programming and Sockets in Python
Chapter 14: Python for Cybersecurity and Ethical Hacking
Chapter 15: Tips for Writing Efficient and Optimized Python Code
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