Kotlin Coding and Deep Learning with Python Made Simple: A Beginner’s Guide to Programming
Kotlin, a formidable and versatile programming language, presents itself as an optimal choice for cross-platform develop
128 28
English Pages 190 Year 2023
Table of contents :
Kotlin Book Introduction:
Chapter 1: Introduction to Kotlin Programming
Chapter 2: Setting Up Your Development Environment
Chapter 3: Variables and Data Types in Kotlin
Chapter 4: Operators and Expressions in Kotlin
Chapter 5: Control Flow Statements in Kotlin
Chapter 6: Functions in Kotlin
Chapter 7: Object-Oriented Programming (OOP) in Kotlin
Chapter 8: Encapsulation, Abstraction, and Polymorphism
Chapter 9: Interfaces, Generics, and Exception Handling
Chapter 10: File Input/Output Operations
Chapter 11: Concurrency and Multithreading in Kotlin
Chapter 12: Networking and HTTP Requests in Kotlin
Chapter 13: Database Integration in Kotlin
Chapter 14: Web Development in Kotlin
Chapter 15: Testing in Kotlin
Chapter 16: Concurrency and Multithreading in Kotlin
Chapter 1: Introduction to Deep Learning
Chapter 2: Getting Started with Python
Chapter 3: Understanding Neural Networks
Chapter 4: Basics of Machine Learning
Chapter 5: Building Your First Neural Network
Chapter 6: Deep Learning Libraries and Tools
Chapter 7: Data Preparation and Preprocessing
Chapter 8: Training and Evaluating Neural Networks
Chapter 9: Convolutional Neural Networks
Chapter 10: Recurrent Neural Networks
Chapter 11: Generative Adversarial Networks
Chapter 12: Natural Language Processing
Chapter 13: Computer Vision Applications
Chapter 14: Reinforcement Learning
Chapter 15: Deep Learning in the Real World
Chapter 16: FAQ - Deep Learning with Python Programming
Kotlin Book Introduction:
Chapter 1: Introduction to Kotlin Programming
Chapter 2: Setting Up Your Development Environment
Chapter 3: Variables and Data Types in Kotlin
Chapter 4: Operators and Expressions in Kotlin
Chapter 5: Control Flow Statements in Kotlin
Chapter 6: Functions in Kotlin
Chapter 7: Object-Oriented Programming (OOP) in Kotlin
Chapter 8: Encapsulation, Abstraction, and Polymorphism
Chapter 9: Interfaces, Generics, and Exception Handling
Chapter 10: File Input/Output Operations
Chapter 11: Concurrency and Multithreading in Kotlin
Chapter 12: Networking and HTTP Requests in Kotlin
Chapter 13: Database Integration in Kotlin
Chapter 14: Web Development in Kotlin
Chapter 15: Testing in Kotlin
Chapter 16: Concurrency and Multithreading in Kotlin
Chapter 1: Introduction to Deep Learning
Chapter 2: Getting Started with Python
Chapter 3: Understanding Neural Networks
Chapter 4: Basics of Machine Learning
Chapter 5: Building Your First Neural Network
Chapter 6: Deep Learning Libraries and Tools
Chapter 7: Data Preparation and Preprocessing
Chapter 8: Training and Evaluating Neural Networks
Chapter 9: Convolutional Neural Networks
Chapter 10: Recurrent Neural Networks
Chapter 11: Generative Adversarial Networks
Chapter 12: Natural Language Processing
Chapter 13: Computer Vision Applications
Chapter 14: Reinforcement Learning
Chapter 15: Deep Learning in the Real World
Chapter 16: FAQ - Deep Learning with Python Programming
