Table of Contents
TensorFlow Builder’s Companion Book¶
A Deep Dive into the TensorFlow API for Engineers, Builders, and Curious Minds¶
Contents¶
📖 Preface¶
- Why This Book Exists
- Who Should Read This
- From Tensors to Graphs: How This Book Was Born
- What You’ll Learn
- How to Read This Book (Even if You’re Just Starting Out)
Part I – Understanding TensorFlow Fundamentals¶
Chapter 1: What is TensorFlow?
Chapter 2: Architecture of TensorFlow
Chapter 3: TensorFlow vs Keras
Chapter 4: Installing TensorFlow
Chapter 5: Hello, tf.Tensor!
Part II – Tensor Mechanics and Computation¶
Chapter 6: Tensor Indexing & Reshaping
Chapter 7: Tensor Broadcasting
Chapter 8: Ragged, Sparse, and String Tensors
Chapter 9: Variables & Trainable Parameters
Chapter 10: Automatic Differentiation (tf.GradientTape)
Chapter 11: Graphs & Functions (@tf.function)
Chapter 12: Bitwise & Numerical Operations
Part III – Model Building with TensorFlow & Keras¶
Chapter 13: Anatomy of a tf.keras Model
Chapter 14: Building a Neural Network from Scratch
Chapter 15: Layers & Activation Functions
Chapter 16: Loss Functions & Optimizers
Chapter 17: Backpropagation & Gradient Descent
Chapter 18: Training with fit() and evaluate()
Chapter 19: Saving, Loading, and Callbacks
Chapter 20: Visualizing Training with TensorBoard
Part IV – Natural Language Processing with TensorFlow¶
Chapter 21: Text Preprocessing & Tokenization
Chapter 22: TF-IDF, Bag-of-Words Representations
Chapter 23: RNNs & LSTMs
Chapter 24: Transformers in TensorFlow (from scratch)
Chapter 25: NLP Projects: Spam Detection, Sentiment Analysis, Autocomplete
Part V – Computer Vision in TensorFlow¶
Chapter 26: Convolution Layers & CNNs
Chapter 27: Data Augmentation
Chapter 28: Image Classification
Chapter 29: Object Detection
Chapter 30: Face Mask Detection
Chapter 31: Image Segmentation
Chapter 32: GANs for Image Generation
Part VI – Real-World Applications¶
Chapter 33: Time Series Forecasting
Chapter 34: Recommender Systems
Chapter 35: TensorFlow Lite & Mobile Deployment
Chapter 36: TensorFlow Extended (TFX)
Chapter 37: Bonus – Integrating TensorFlow with Hugging Face
📎 Appendices¶
A. Tensor Shapes Cheat Sheet (TensorFlow style)
B. TensorFlow vs PyTorch: Code Comparisons
C. Debugging Tips (Graph mode gotchas, lazy tensor pitfalls)
D. Source Code Folder (one notebook per chapter)