---
title: "1 What is deep learning?"
id: "13333"
type: "page"
slug: "deeplearningwithrthirdedition"
published_at: "2026-07-19T18:45:59+00:00"
modified_at: "2026-07-20T00:19:26+00:00"
url: "https://preppers-paradise.com/library/deeplearningwithrthirdedition/"
markdown_url: "https://preppers-paradise.com/library/deeplearningwithrthirdedition.md"
excerpt: "This book offers a comprehensive guide to deep learning, detailing its foundational concepts, underlying mathematics, and practical implementation. Readers will learn to design, train, and deploy neural networks for a variety of tasks using leading frameworks such as Keras, TensorFlow,..."
taxonomy_category:
  - "AI & Machine Learning"
  - "Books"
  - "Free Teaser"
taxonomy_post_tag:
  - "artificial intelligence"
  - "computer vision"
  - "data science"
  - "deep learning"
  - "keras"
  - "machine learning"
  - "neural networks"
  - "pytorch"
  - "tensorflow"
  - "time series"
---

# 1 What is deep learning?

This book offers a comprehensive guide to deep learning, detailing its foundational concepts, underlying mathematics, and practical implementation. Readers will learn to design, train, and deploy neural networks for a variety of tasks using leading frameworks such as Keras, TensorFlow, PyTorch, and JAX. It covers essential machine learning workflows from data preparation and model evaluation to advanced topics like computer vision (classification, segmentation, object detection) and time series forecasting, providing a practical understanding of building intelligent systems.

This page is free — overview and chapter list only.
Full book: $2.99 USDC · Per chapter: $0.25 USDC
[Buy / open complete book](/library/complete/deeplearningwithrthirdedition/) · [Complete book Markdown](/library/complete/deeplearningwithrthirdedition.md)

## Chapters

1. [1 What Is Deep Learning 1](/library/deeplearningwithrthirdedition/01-1-what-is-deep-learning-1/) (Free teaser)
1. [8 Image Classification 229Page 255 0](/library/deeplearningwithrthirdedition/02-8-image-classification-229page-255-0/) ($0.25)
1. [20 Conclusions 594Page 620 0](/library/deeplearningwithrthirdedition/03-20-conclusions-594page-620-0/) ($0.25)
1. [What Is Deep Learning](/library/deeplearningwithrthirdedition/04-what-is-deep-learning/) ($0.25)
1. [Setting Up A Deep Learning Workspace](/library/deeplearningwithrthirdedition/05-setting-up-a-deep-learning-workspace/) ($0.25)
1. [222 Vectors Rank 1 Tensors](/library/deeplearningwithrthirdedition/06-222-vectors-rank-1-tensors/) ($0.25)
1. [226 Manipulating Numpy Tensors In R](/library/deeplearningwithrthirdedition/07-226-manipulating-numpy-tensors-in-r/) ($0.25)
1. [228 Real World Examples Of Data Tensors](/library/deeplearningwithrthirdedition/08-228-real-world-examples-of-data-tensors/) ($0.25)
1. [233 Tensor Products](/library/deeplearningwithrthirdedition/09-233-tensor-products/) ($0.25)
1. [236 A Geometric Interpretation Of Deep Learning](/library/deeplearningwithrthirdedition/10-236-a-geometric-interpretation-of-deep-learning/) ($0.25)
1. [243 Stochastic Gradient Descent](/library/deeplearningwithrthirdedition/11-243-stochastic-gradient-descent/) ($0.25)
1. [244 Chaining Derivatives The Backpropagation Algorithm](/library/deeplearningwithrthirdedition/12-244-chaining-derivatives-the-backpropagation-algorithm/) ($0.25)
1. [A Simple Dense Class](/library/deeplearningwithrthirdedition/13-a-simple-dense-class/) ($0.25)
1. [254 Evaluating The Model](/library/deeplearningwithrthirdedition/14-254-evaluating-the-model/) ($0.25)
1. [31 A Brief History Of Deep Learning Frameworks](/library/deeplearningwithrthirdedition/15-31-a-brief-history-of-deep-learning-frameworks/) ($0.25)
1. [33 Introduction To Tensorflow](/library/deeplearningwithrthirdedition/16-33-introduction-to-tensorflow/) ($0.25)
1. [333 What Makes The Tensorflow Approach Unique](/library/deeplearningwithrthirdedition/17-333-what-makes-the-tensorflow-approach-unique/) ($0.25)
1. [352 Tensors In Jax](/library/deeplearningwithrthirdedition/18-352-tensors-in-jax/) ($0.25)
1. [422 Preparing The Data](/library/deeplearningwithrthirdedition/19-422-preparing-the-data/) ($0.25)
1. [435 Generating Predictions On New Data](/library/deeplearningwithrthirdedition/20-435-generating-predictions-on-new-data/) ($0.25)
1. [512 The Nature Of Generalization In Deep Learning](/library/deeplearningwithrthirdedition/21-512-the-nature-of-generalization-in-deep-learning/) ($0.25)
1. [522 Beating A Commonsense Baseline](/library/deeplearningwithrthirdedition/22-522-beating-a-commonsense-baseline/) ($0.25)
1. [533 Increasing Model Capacity](/library/deeplearningwithrthirdedition/23-533-increasing-model-capacity/) ($0.25)
1. [A Note About Ethics](/library/deeplearningwithrthirdedition/24-a-note-about-ethics/) ($0.25)
1. [Beware Of Non Representative Data](/library/deeplearningwithrthirdedition/25-beware-of-non-representative-data/) ($0.25)
1. [614 Choosing A Measure Of Success](/library/deeplearningwithrthirdedition/26-614-choosing-a-measure-of-success/) ($0.25)
1. [623 Beating A Baseline](/library/deeplearningwithrthirdedition/27-623-beating-a-baseline/) ($0.25)
1. [Deploying A Model As A Rest Api](/library/deeplearningwithrthirdedition/28-deploying-a-model-as-a-rest-api/) ($0.25)
1. [Deploying A Model In The Browser](/library/deeplearningwithrthirdedition/29-deploying-a-model-in-the-browser/) ($0.25)
1. [634 Maintaining Your Model](/library/deeplearningwithrthirdedition/30-634-maintaining-your-model/) ($0.25)
1. [Listing 72 Incrementally Building A Sequential Model](/library/deeplearningwithrthirdedition/31-listing-72-incrementally-building-a-sequential-model/) ($0.25)
1. [A Simple Example](/library/deeplearningwithrthirdedition/32-a-simple-example/) ($0.25)
1. [Training A Multi Input Multi Output Model](/library/deeplearningwithrthirdedition/33-training-a-multi-input-multi-output-model/) ($0.25)
1. [Rewriting Our Previous Example As A Subclassed Model](/library/deeplearningwithrthirdedition/34-rewriting-our-previous-example-as-a-subclassed-model/) ($0.25)
1. [724 Mixing And Matching Different Components](/library/deeplearningwithrthirdedition/35-724-mixing-and-matching-different-components/) ($0.25)
1. [731 Writing Our Own Metrics](/library/deeplearningwithrthirdedition/36-731-writing-our-own-metrics/) ($0.25)
1. [733 The Earlystopping And Modelcheckpoint Callbacks](/library/deeplearningwithrthirdedition/37-733-the-earlystopping-and-modelcheckpoint-callbacks/) ($0.25)
1. [735 Monitoring And Visualization With Tensorboard](/library/deeplearningwithrthirdedition/38-735-monitoring-and-visualization-with-tensorboard/) ($0.25)
1. [741 Training Vs Inference](/library/deeplearningwithrthirdedition/39-741-training-vs-inference/) ($0.25)
1. [A Jax Training Step Function](/library/deeplearningwithrthirdedition/40-a-jax-training-step-function/) ($0.25)
1. [Note The Following](/library/deeplearningwithrthirdedition/41-note-the-following/) ($0.25)
1. [Customizing Fit With Jax](/library/deeplearningwithrthirdedition/42-customizing-fit-with-jax/) ($0.25)
1. [This Chapter Covers](/library/deeplearningwithrthirdedition/43-this-chapter-covers/) ($0.25)
1. [811 The Convolution Operation](/library/deeplearningwithrthirdedition/44-811-the-convolution-operation/) ($0.25)
1. [812 The Max Pooling Operation](/library/deeplearningwithrthirdedition/45-812-the-max-pooling-operation/) ($0.25)
1. [Downloading A Kaggle Dataset In Google Colaboratory](/library/deeplearningwithrthirdedition/46-downloading-a-kaggle-dataset-in-google-colaboratory/) ($0.25)
1. [Understanding Tensorflow Dataset Objects](/library/deeplearningwithrthirdedition/47-understanding-tensorflow-dataset-objects/) ($0.25)
1. [Fitting The Model](/library/deeplearningwithrthirdedition/48-fitting-the-model/) ($0.25)
1. [Instantiating Layers Without Composing Them](/library/deeplearningwithrthirdedition/49-instantiating-layers-without-composing-them/) ($0.25)
1. [Listing 822 Evaluating The Model On The Test Set](/library/deeplearningwithrthirdedition/50-listing-822-evaluating-the-model-on-the-test-set/) ($0.25)
1. [Fast Feature Extraction Without Data Augmentation](/library/deeplearningwithrthirdedition/51-fast-feature-extraction-without-data-augmentation/) ($0.25)
1. [Listing 830 Fine Tuning The Model](/library/deeplearningwithrthirdedition/52-listing-830-fine-tuning-the-model/) ($0.25)
1. [Listing 92 Target Block That Changes The Number Of Output Fi](/library/deeplearningwithrthirdedition/53-listing-92-target-block-that-changes-the-number-of-output-fi/) ($0.25)
1. [Listing 106 Visualizing Every Channel In Every Intermediate](/library/deeplearningwithrthirdedition/54-listing-106-visualizing-every-channel-in-every-intermediate/) ($0.25)
1. [Listing 108 Feature Extractor Model Returning A Specific Out](/library/deeplearningwithrthirdedition/55-listing-108-feature-extractor-model-returning-a-specific-out/) ($0.25)
1. [Listing 1011 Utility Function To Convert A Tensor Into A Val](/library/deeplearningwithrthirdedition/56-listing-1011-utility-function-to-convert-a-tensor-into-a-val/) ($0.25)
1. [Writing Functions For Datasetmap](/library/deeplearningwithrthirdedition/57-writing-functions-for-datasetmap/) ($0.25)
1. [1223 Readying The Coco Data For The Yolo Model](/library/deeplearningwithrthirdedition/58-1223-readying-the-coco-data-for-the-yolo-model/) ($0.25)
1. [Listing 129 Computing Iou For Two Boxes](/library/deeplearningwithrthirdedition/59-listing-129-computing-iou-for-two-boxes/) ($0.25)
1. [This Chapter Covers 2](/library/deeplearningwithrthirdedition/60-this-chapter-covers-2/) ($0.25)
1. [1322 A Commonsense Nonmachine Learning Baseline](/library/deeplearningwithrthirdedition/61-1322-a-commonsense-nonmachine-learning-baseline/) ($0.25)
1. [1324 Lets Try A 1D Convolutional Model](/library/deeplearningwithrthirdedition/62-1324-lets-try-a-1d-convolutional-model/) ($0.25)
1. [1331 Understanding Rnns](/library/deeplearningwithrthirdedition/63-1331-understanding-rnns/) ($0.25)
1. [1334 Using Recurrent Dropout To Fight Overfitting](/library/deeplearningwithrthirdedition/64-1334-using-recurrent-dropout-to-fight-overfitting/) ($0.25)
1. [1336 Using Bidirectional Rnns](/library/deeplearningwithrthirdedition/65-1336-using-bidirectional-rnns/) ($0.25)
1. [Markets And Machine Learning](/library/deeplearningwithrthirdedition/66-markets-and-machine-learning/) ($0.25)
1. [Splitting Text In Stringr](/library/deeplearningwithrthirdedition/67-splitting-text-in-stringr/) ($0.25)
1. [Listing 141 A Basic Character Level Tokenizer](/library/deeplearningwithrthirdedition/68-listing-141-a-basic-character-level-tokenizer/) ($0.25)
1. [1422 Subword Tokenization](/library/deeplearningwithrthirdedition/69-1422-subword-tokenization/) ($0.25)
1. [Choosing A Tokenization Technique](/library/deeplearningwithrthirdedition/70-choosing-a-tokenization-technique/) ($0.25)
1. [1441 Training A Bag Of Words Model](/library/deeplearningwithrthirdedition/71-1441-training-a-bag-of-words-model/) ($0.25)
1. [Listing 1416 Training The Bigram Regression Model](/library/deeplearningwithrthirdedition/72-listing-1416-training-the-bigram-regression-model/) ($0.25)
1. [1451 Training A Recurrent Model](/library/deeplearningwithrthirdedition/73-1451-training-a-recurrent-model/) ($0.25)
1. [1453 Using A Word Embedding](/library/deeplearningwithrthirdedition/74-1453-using-a-word-embedding/) ($0.25)
1. [1454 Pretraining A Word Embedding](/library/deeplearningwithrthirdedition/75-1454-pretraining-a-word-embedding/) ($0.25)
1. [Listing 166 Creating A Mini Gpt Functional Model](/library/deeplearningwithrthirdedition/76-listing-166-creating-a-mini-gpt-functional-model/) ($0.25)
1. [Continued](/library/deeplearningwithrthirdedition/77-continued/) ($0.25)
1. [Visual Artifacts In The Stable Diffusion Output](/library/deeplearningwithrthirdedition/78-visual-artifacts-in-the-stable-diffusion-output/) ($0.25)
1. [Using Model Parallelism With Jax](/library/deeplearningwithrthirdedition/79-using-model-parallelism-with-jax/) ($0.25)
1. [1943 Why Deep Learning Isnt A Complete Answer To Abstraction](/library/deeplearningwithrthirdedition/80-1943-why-deep-learning-isnt-a-complete-answer-to-abstraction/) ($0.25)