---
title: "1 What is deep learning? 1"
id: "13167"
type: "page"
slug: "deeplearningwithrsecondedition"
published_at: "2026-07-19T18:29:16+00:00"
modified_at: "2026-07-20T00:19:29+00:00"
url: "https://preppers-paradise.com/library/deeplearningwithrsecondedition/"
markdown_url: "https://preppers-paradise.com/library/deeplearningwithrsecondedition.md"
excerpt: "This guide provides a comprehensive introduction to deep learning, covering its fundamental concepts, historical evolution, and practical applications. It delves into the mathematical underpinnings of neural networks, explaining data representation with tensors, essential tensor operations, and opti"
taxonomy_category:
  - "AI & Machine Learning"
  - "Books"
  - "Free Teaser"
taxonomy_post_tag:
  - "artificial intelligence"
  - "backpropagation"
  - "data science"
  - "deep learning"
  - "gradient descent"
  - "machine learning"
  - "neural networks"
  - "r programming"
  - "tensors"
---

# *1 What is deep learning? 1*

This guide provides a comprehensive introduction to deep learning, covering its fundamental concepts, historical evolution, and practical applications. It delves into the mathematical underpinnings of neural networks, explaining data representation with tensors, essential tensor operations, and optimization algorithms such as gradient descent and backpropagation. Readers will gain a solid understanding of how deep learning systems function and how to implement them effectively, specifically utilizing the R programming environment.

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/deeplearningwithrsecondedition/) · [Complete book Markdown](/library/complete/deeplearningwithrsecondedition.md)

## Chapters

1. [Deep Learning With R](/library/deeplearningwithrsecondedition/01-deep-learning-with-r/) (Free teaser)
1. [146 Staying Up To Date In A Fast Moving Field 507Page 526 0](/library/deeplearningwithrsecondedition/02-146-staying-up-to-date-in-a-fast-moving-field-507page-526-0/) ($0.25)
1. [11 Artificial Intelligence Machine Learning And Deep Learnin](/library/deeplearningwithrsecondedition/03-11-artificial-intelligence-machine-learning-and-deep-learnin/) ($0.25)
1. [12 Before Deep Learning A Brief History Of Machine Learning](/library/deeplearningwithrsecondedition/04-12-before-deep-learning-a-brief-history-of-machine-learning/) ($0.25)
1. [13 Why Deep Learning Why Now](/library/deeplearningwithrsecondedition/05-13-why-deep-learning-why-now/) ($0.25)
1. [135 The Democratization Of Deep Learning](/library/deeplearningwithrsecondedition/06-135-the-democratization-of-deep-learning/) ($0.25)
1. [226 Manipulating Tensors In R](/library/deeplearningwithrsecondedition/07-226-manipulating-tensors-in-r/) ($0.25)
1. [233 Tensor Product](/library/deeplearningwithrsecondedition/08-233-tensor-product/) ($0.25)
1. [241 Whats A Derivative](/library/deeplearningwithrsecondedition/09-241-whats-a-derivative/) ($0.25)
1. [244 Chaining Derivatives The Backpropagation Algorithm](/library/deeplearningwithrsecondedition/10-244-chaining-derivatives-the-backpropagation-algorithm/) ($0.25)
1. [A Simple Dense Class](/library/deeplearningwithrsecondedition/11-a-simple-dense-class/) ($0.25)
1. [253 The Full Training Loop](/library/deeplearningwithrsecondedition/12-253-the-full-training-loop/) ($0.25)
1. [376 Tensor Operations Doing Math In Tensorflow](/library/deeplearningwithrsecondedition/13-376-tensor-operations-doing-math-in-tensorflow/) ($0.25)
1. [381 Layers The Building Blocks Of Deep Learning](/library/deeplearningwithrsecondedition/14-381-layers-the-building-blocks-of-deep-learning/) ($0.25)
1. [386 Monitoring Loss And Metrics On Validation Data](/library/deeplearningwithrsecondedition/15-386-monitoring-loss-and-metrics-on-validation-data/) ($0.25)
1. [413 Building Your Model](/library/deeplearningwithrsecondedition/16-413-building-your-model/) ($0.25)
1. [421 The Reuters Dataset](/library/deeplearningwithrsecondedition/17-421-the-reuters-dataset/) ($0.25)
1. [434 Validating Your Approach Using K Fold Validation](/library/deeplearningwithrsecondedition/18-434-validating-your-approach-using-k-fold-validation/) ($0.25)
1. [511 Underfitting And Overfitting](/library/deeplearningwithrsecondedition/19-511-underfitting-and-overfitting/) ($0.25)
1. [512 The Nature Of Generalization In Deep Learning](/library/deeplearningwithrsecondedition/20-512-the-nature-of-generalization-in-deep-learning/) ($0.25)
1. [Iterated K Fold Validation With Shuffling](/library/deeplearningwithrsecondedition/21-iterated-k-fold-validation-with-shuffling/) ($0.25)
1. [Listing 58 The Same Model With A More Appropriate Learning R](/library/deeplearningwithrsecondedition/22-listing-58-the-same-model-with-a-more-appropriate-learning-r/) ($0.25)
1. [Reducing The Networks Size](/library/deeplearningwithrsecondedition/23-reducing-the-networks-size/) ($0.25)
1. [Adding Dropout](/library/deeplearningwithrsecondedition/24-adding-dropout/) ($0.25)
1. [Beware Of Nonrepresentative Data](/library/deeplearningwithrsecondedition/25-beware-of-nonrepresentative-data/) ($0.25)
1. [Handling Missing Values](/library/deeplearningwithrsecondedition/26-handling-missing-values/) ($0.25)
1. [Inference Model Optimization](/library/deeplearningwithrsecondedition/27-inference-model-optimization/) ($0.25)
1. [722 The Functional Api](/library/deeplearningwithrsecondedition/28-722-the-functional-api/) ($0.25)
1. [Rewriting Our Previous Example As A Subclassed Model](/library/deeplearningwithrsecondedition/29-rewriting-our-previous-example-as-a-subclassed-model/) ($0.25)
1. [731 Writing Your Own Metrics](/library/deeplearningwithrsecondedition/30-731-writing-your-own-metrics/) ($0.25)
1. [741 Training Vs Inference](/library/deeplearningwithrsecondedition/31-741-training-vs-inference/) ($0.25)
1. [Listing 723 Writing A Step By Step Training Loop The Loop It](/library/deeplearningwithrsecondedition/32-listing-723-writing-a-step-by-step-training-loop-the-loop-it/) ($0.25)
1. [We Can Thus Write](/library/deeplearningwithrsecondedition/33-we-can-thus-write/) ($0.25)
1. [811 The Convolution Operation](/library/deeplearningwithrsecondedition/34-811-the-convolution-operation/) ($0.25)
1. [Downloading A Kaggle Dataset](/library/deeplearningwithrsecondedition/35-downloading-a-kaggle-dataset/) ($0.25)
1. [Understanding Tfdatasets](/library/deeplearningwithrsecondedition/36-understanding-tfdatasets/) ($0.25)
1. [Listing 822 Plotting The Results](/library/deeplearningwithrsecondedition/37-listing-822-plotting-the-results/) ($0.25)
1. [Now Its Time To Define Our Model](/library/deeplearningwithrsecondedition/38-now-its-time-to-define-our-model/) ($0.25)
1. [932 Residual Connections](/library/deeplearningwithrsecondedition/39-932-residual-connections/) ($0.25)
1. [933 Batch Normalization](/library/deeplearningwithrsecondedition/40-933-batch-normalization/) ($0.25)
1. [935 Putting It Together A Mini Xception Like Model](/library/deeplearningwithrsecondedition/41-935-putting-it-together-a-mini-xception-like-model/) ($0.25)
1. [941 Visualizing Intermediate Activations](/library/deeplearningwithrsecondedition/42-941-visualizing-intermediate-activations/) ($0.25)
1. [The Difference Between Predictmodel X And Modelx](/library/deeplearningwithrsecondedition/43-the-difference-between-predictmodel-x-and-modelx/) ($0.25)
1. [943 Visualizing Heatmaps Of Class Activation](/library/deeplearningwithrsecondedition/44-943-visualizing-heatmaps-of-class-activation/) ($0.25)
1. [This Chapter Covers](/library/deeplearningwithrsecondedition/45-this-chapter-covers/) ($0.25)
1. [Understanding Timeseriesdatasetfromarray](/library/deeplearningwithrsecondedition/46-understanding-timeseriesdatasetfromarray/) ($0.25)
1. [1025 A First Recurrent Baseline](/library/deeplearningwithrsecondedition/47-1025-a-first-recurrent-baseline/) ($0.25)
1. [1031 A Recurrent Layer In Keras](/library/deeplearningwithrsecondedition/48-1031-a-recurrent-layer-in-keras/) ($0.25)
1. [1041 Using Recurrent Dropout To Fight Overfitting](/library/deeplearningwithrsecondedition/49-1041-using-recurrent-dropout-to-fight-overfitting/) ($0.25)
1. [1043 Using Bidirectional Rnns](/library/deeplearningwithrsecondedition/50-1043-using-bidirectional-rnns/) ($0.25)
1. [This Chapter Covers 2](/library/deeplearningwithrsecondedition/51-this-chapter-covers-2/) ($0.25)
1. [1123 Vocabulary Indexing](/library/deeplearningwithrsecondedition/52-1123-vocabulary-indexing/) ($0.25)
1. [1131 Preparing The Imdb Movie Reviews Data](/library/deeplearningwithrsecondedition/53-1131-preparing-the-imdb-movie-reviews-data/) ($0.25)
1. [1141 Understanding Self Attention](/library/deeplearningwithrsecondedition/54-1141-understanding-self-attention/) ($0.25)
1. [1144 When To Use Sequence Models Over Bag Of Words Models](/library/deeplearningwithrsecondedition/55-1144-when-to-use-sequence-models-over-bag-of-words-models/) ($0.25)
1. [Listing 1130 Training Our Recurrent Sequence To Sequence Mod](/library/deeplearningwithrsecondedition/56-listing-1130-training-our-recurrent-sequence-to-sequence-mod/) ($0.25)
1. [Listing 1133 The Transformerdecoder](/library/deeplearningwithrsecondedition/57-listing-1133-the-transformerdecoder/) ($0.25)
1. [Listing 1139 Some Sample Results From The Transformer Transl](/library/deeplearningwithrsecondedition/58-listing-1139-some-sample-results-from-the-transformer-transl/) ($0.25)
1. [1212 How Do You Generate Sequence Data](/library/deeplearningwithrsecondedition/59-1212-how-do-you-generate-sequence-data/) ($0.25)
1. [1215 A Text Generation Callback With Variable Temperature Sa](/library/deeplearningwithrsecondedition/60-1215-a-text-generation-callback-with-variable-temperature-sa/) ($0.25)
1. [Listing 127 The Text Generation Callback](/library/deeplearningwithrsecondedition/61-listing-127-the-text-generation-callback/) ($0.25)
1. [Listing 1214 Image Processing Utilities](/library/deeplearningwithrsecondedition/62-listing-1214-image-processing-utilities/) ($0.25)
1. [1222 Wrapping Up](/library/deeplearningwithrsecondedition/63-1222-wrapping-up/) ($0.25)
1. [Listing 1227 Vae Model With Custom Trainstep](/library/deeplearningwithrsecondedition/64-listing-1227-vae-model-with-custom-trainstep/) ($0.25)
1. [Listing 132 A Kerastuner Hypermodel](/library/deeplearningwithrsecondedition/65-listing-132-a-kerastuner-hypermodel/) ($0.25)
1. [1322 Multi Gpu Training](/library/deeplearningwithrsecondedition/66-1322-multi-gpu-training/) ($0.25)
1. [Leveraging Step Fusing To Improve Tpu Utilization](/library/deeplearningwithrsecondedition/67-leveraging-step-fusing-to-improve-tpu-utilization/) ($0.25)
1. [1413 How To Think About Deep Learning](/library/deeplearningwithrsecondedition/68-1413-how-to-think-about-deep-learning/) ($0.25)
1. [1416 Key Network Architectures](/library/deeplearningwithrsecondedition/69-1416-key-network-architectures/) ($0.25)
1. [1423 Local Generalization Vs Extreme Generalization](/library/deeplearningwithrsecondedition/70-1423-local-generalization-vs-extreme-generalization/) ($0.25)
1. [1425 Climbing The Spectrum Of Generalization](/library/deeplearningwithrsecondedition/71-1425-climbing-the-spectrum-of-generalization/) ($0.25)
1. [1432 A New Target](/library/deeplearningwithrsecondedition/72-1432-a-new-target/) ($0.25)
1. [1442 The Two Poles Of Abstraction](/library/deeplearningwithrsecondedition/73-1442-the-two-poles-of-abstraction/) ($0.25)
1. [1444 The Missing Half Of The Picture](/library/deeplearningwithrsecondedition/74-1444-the-missing-half-of-the-picture/) ($0.25)
1. [1454 Lifelong Learning And Modular Subroutine Reuse](/library/deeplearningwithrsecondedition/75-1454-lifelong-learning-and-modular-subroutine-reuse/) ($0.25)
1. [1463 Explore The Keras Ecosystem](/library/deeplearningwithrsecondedition/76-1463-explore-the-keras-ecosystem/) ($0.25)
1. [A31 Comprehensions](/library/deeplearningwithrsecondedition/77-a31-comprehensions/) ($0.25)
1. [A Few Things To Note](/library/deeplearningwithrsecondedition/78-a-few-things-to-note/) ($0.25)
1. [A81 Where Are Modules Found](/library/deeplearningwithrsecondedition/79-a81-where-are-modules-found/) ($0.25)
1. [Numerics](/library/deeplearningwithrsecondedition/80-numerics/) ($0.25)