DEEP LEARNING WITH TENSORFLOW AND SQL CODING MADE SIMPLE: A BEGINNER’S GUIDE TO PROGRAMMING - 2 BOOKS IN 1
Deep Learning with TensorFlow - A Beginner's Guide to Programming! Are you ready to unlock the potential of deep l
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English Pages 187 Year 2024
Table of contents :
Chapter 1: Introduction to Deep Learning
Chapter 2: Getting Started with TensorFlow
Chapter 3: Basics of Neural Networks
Chapter 4: Understanding Activation Functions
Chapter 5: Understanding Loss Functions
Chapter 6: Training Neural Networks
Chapter 7: Improving Neural Network Performance
Chapter 8: Convolutional Neural Networks and Recurrent Neural Networks
Chapter 9: Generative Deep Learning
Chapter 10: Generative Adversarial Networks (GANs) with Examples
Chapter 11: Transfer Learning and Fine-Tuning with Examples
Chapter 12: Deep Reinforcement Learning
Chapter 13: Natural Language Processing with TensorFlow
Chapter 14: Image Classification with Deep Learning
Chapter 15: Natural Language Generation with Deep Learning
Chapter 17: Deep Learning for Computer Vision in TensorFlow
Chapter 18: The Future of Deep Learning in TensorFlow
SQL CODING
Chapter 1: Introduction to SQL
Chapter 2: Creating and Manipulating Databases
Chapter 3: Querying Data with SELECT
Chapter 4: Advanced Filtering Techniques
Chapter 5: Joining Tables
Chapter 6: Aggregate Functions and Grouping Data
Chapter 7: Data Manipulation in SQL
Chapter 8: Understanding SQL Views
Chapter 9: SQL Subqueries
Chapter 10: SQL Functions
Chapter 11: SQL Transactions
Chapter 12: Advanced SQL Concepts
Chapter 13: Database Normalization
Chapter 14: Data Modeling and Entity-Relationship Diagrams (ERDs)
Chapter 1: Introduction to Deep Learning
Chapter 2: Getting Started with TensorFlow
Chapter 3: Basics of Neural Networks
Chapter 4: Understanding Activation Functions
Chapter 5: Understanding Loss Functions
Chapter 6: Training Neural Networks
Chapter 7: Improving Neural Network Performance
Chapter 8: Convolutional Neural Networks and Recurrent Neural Networks
Chapter 9: Generative Deep Learning
Chapter 10: Generative Adversarial Networks (GANs) with Examples
Chapter 11: Transfer Learning and Fine-Tuning with Examples
Chapter 12: Deep Reinforcement Learning
Chapter 13: Natural Language Processing with TensorFlow
Chapter 14: Image Classification with Deep Learning
Chapter 15: Natural Language Generation with Deep Learning
Chapter 17: Deep Learning for Computer Vision in TensorFlow
Chapter 18: The Future of Deep Learning in TensorFlow
SQL CODING
Chapter 1: Introduction to SQL
Chapter 2: Creating and Manipulating Databases
Chapter 3: Querying Data with SELECT
Chapter 4: Advanced Filtering Techniques
Chapter 5: Joining Tables
Chapter 6: Aggregate Functions and Grouping Data
Chapter 7: Data Manipulation in SQL
Chapter 8: Understanding SQL Views
Chapter 9: SQL Subqueries
Chapter 10: SQL Functions
Chapter 11: SQL Transactions
Chapter 12: Advanced SQL Concepts
Chapter 13: Database Normalization
Chapter 14: Data Modeling and Entity-Relationship Diagrams (ERDs)
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