The StatQuest illustrated guide to neural networks and AI: with hands-on examples in PyTorch!!! : triple bam!!!
"AI applications like ChatGPT can seem almost magical. A simple prompt can generate a new poem, or even write code for you. But how does this magic happen? That's where 'The StatQuest Illustrated Guide to Neural Networks and AI' comes in. This book takes the algorithms, no matter...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
[Josh Starmer]
[2025]
|
| Schlagworte: | |
| Zusammenfassung: | "AI applications like ChatGPT can seem almost magical. A simple prompt can generate a new poem, or even write code for you. But how does this magic happen? That's where 'The StatQuest Illustrated Guide to Neural Networks and AI' comes in. This book takes the algorithms, no matter how complicated, and breaks them down into small, bite-sized pieces that are easy to understand. Each concept is clearly illustrated to provide you with an intuition about how the methods work that goes beyond the equations alone. The StatQuest Illustrated Guide does not dumb down the concepts. Instead, it builds you up, so you're smarter and have a deeper understanding of neural networks and AI. 'The StatQuest Illustrated Guide to Neural Networks and AI' starts with the basics, showing you how a simple neural network fits a shape to data and then builds from there, one step at a time, until you have mastered the concepts behind today's revolution in AI. Furthermore, putting the theory into practice is easy because each major concept is paired with a PyTorch tutorial that teaches you how to code each neural network from scratch." -- Printed paper wrapper |
| Beschreibung: | 363 Seiten Illustrationen, Diagramme |
| ISBN: | 9798303440616 |
Internformat
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| 245 | 1 | 0 | |a The StatQuest illustrated guide to neural networks and AI |b with hands-on examples in PyTorch!!! : triple bam!!! |c by Josh Starmer, Ph.D. |
| 246 | 1 | 3 | |a Illustrated guide to neural networks and AI |
| 264 | 1 | |a [Erscheinungsort nicht ermittelbar] |b [Josh Starmer] |c [2025] | |
| 264 | 4 | |c © 2025 | |
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| 505 | 8 | 0 | |t Fundamental concepts in neural networks and AI!!! -- Optimizing weights and biases with backpropagation!!! -- Networks with multiple inputs and outputs!!! -- Simplifying outputs with ArgMax and SoftMax!!! -- Speeding up training with cross entropy!!! -- Image classification with convolutional neural networks!!! -- Stock prediction with recurrent neural networks (RNNs)!!! -- Better stock prediction with long short-term memory (LSTM)!!! -- Converting words to numbers with word embedding!!! -- Language translation with Seq2seq and encoder-decoder models!!! -- Better language translation with attention!!! -- Even better language translation with transformers!!! -- Generating lots of text with decoder-only transformers!!! -- Classification and clustering with encoder-only transformers!!! |
| 520 | 3 | |a "AI applications like ChatGPT can seem almost magical. A simple prompt can generate a new poem, or even write code for you. But how does this magic happen? That's where 'The StatQuest Illustrated Guide to Neural Networks and AI' comes in. This book takes the algorithms, no matter how complicated, and breaks them down into small, bite-sized pieces that are easy to understand. Each concept is clearly illustrated to provide you with an intuition about how the methods work that goes beyond the equations alone. The StatQuest Illustrated Guide does not dumb down the concepts. Instead, it builds you up, so you're smarter and have a deeper understanding of neural networks and AI. 'The StatQuest Illustrated Guide to Neural Networks and AI' starts with the basics, showing you how a simple neural network fits a shape to data and then builds from there, one step at a time, until you have mastered the concepts behind today's revolution in AI. Furthermore, putting the theory into practice is easy because each major concept is paired with a PyTorch tutorial that teaches you how to code each neural network from scratch." -- Printed paper wrapper | |
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Datensatz im Suchindex
| _version_ | 1826385863478607872 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Starmer, Josh |
| author_GND | (DE-588)1288648383 |
| author_facet | Starmer, Josh |
| author_role | aut |
| author_sort | Starmer, Josh |
| author_variant | j s js |
| building | Verbundindex |
| bvnumber | BV050168297 |
| classification_rvk | ST 301 ST 300 ST 302 |
| contents | Fundamental concepts in neural networks and AI!!! -- Optimizing weights and biases with backpropagation!!! -- Networks with multiple inputs and outputs!!! -- Simplifying outputs with ArgMax and SoftMax!!! -- Speeding up training with cross entropy!!! -- Image classification with convolutional neural networks!!! -- Stock prediction with recurrent neural networks (RNNs)!!! -- Better stock prediction with long short-term memory (LSTM)!!! -- Converting words to numbers with word embedding!!! -- Language translation with Seq2seq and encoder-decoder models!!! -- Better language translation with attention!!! -- Even better language translation with transformers!!! -- Generating lots of text with decoder-only transformers!!! -- Classification and clustering with encoder-only transformers!!! |
| ctrlnum | (DE-599)KXP1914747593 |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV050168297 |
| illustrated | Illustrated |
| indexdate | 2025-03-12T11:01:29Z |
| institution | BVB |
| isbn | 9798303440616 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035504274 |
| open_access_boolean | |
| owner | DE-M347 |
| owner_facet | DE-M347 |
| physical | 363 Seiten Illustrationen, Diagramme |
| publishDate | 2025 |
| publishDateSearch | 2025 |
| publishDateSort | 2025 |
| publisher | [Josh Starmer] |
| record_format | marc |
| spelling | Starmer, Josh Verfasser (DE-588)1288648383 aut The StatQuest illustrated guide to neural networks and AI with hands-on examples in PyTorch!!! : triple bam!!! by Josh Starmer, Ph.D. Illustrated guide to neural networks and AI [Erscheinungsort nicht ermittelbar] [Josh Starmer] [2025] © 2025 363 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Fundamental concepts in neural networks and AI!!! -- Optimizing weights and biases with backpropagation!!! -- Networks with multiple inputs and outputs!!! -- Simplifying outputs with ArgMax and SoftMax!!! -- Speeding up training with cross entropy!!! -- Image classification with convolutional neural networks!!! -- Stock prediction with recurrent neural networks (RNNs)!!! -- Better stock prediction with long short-term memory (LSTM)!!! -- Converting words to numbers with word embedding!!! -- Language translation with Seq2seq and encoder-decoder models!!! -- Better language translation with attention!!! -- Even better language translation with transformers!!! -- Generating lots of text with decoder-only transformers!!! -- Classification and clustering with encoder-only transformers!!! "AI applications like ChatGPT can seem almost magical. A simple prompt can generate a new poem, or even write code for you. But how does this magic happen? That's where 'The StatQuest Illustrated Guide to Neural Networks and AI' comes in. This book takes the algorithms, no matter how complicated, and breaks them down into small, bite-sized pieces that are easy to understand. Each concept is clearly illustrated to provide you with an intuition about how the methods work that goes beyond the equations alone. The StatQuest Illustrated Guide does not dumb down the concepts. Instead, it builds you up, so you're smarter and have a deeper understanding of neural networks and AI. 'The StatQuest Illustrated Guide to Neural Networks and AI' starts with the basics, showing you how a simple neural network fits a shape to data and then builds from there, one step at a time, until you have mastered the concepts behind today's revolution in AI. Furthermore, putting the theory into practice is easy because each major concept is paired with a PyTorch tutorial that teaches you how to code each neural network from scratch." -- Printed paper wrapper Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Neural networks (Computer science) / Textbooks Neural networks (Computer science) / Pictorial works Artificial intelligence / Textbooks Natural language processing (Computer science) / Pictorial works Computer programming / Handbooks, manuals, etc Neuronales Netz (DE-588)4226127-2 s DE-604 Maschinelles Lernen (DE-588)4193754-5 s |
| spellingShingle | Starmer, Josh The StatQuest illustrated guide to neural networks and AI with hands-on examples in PyTorch!!! : triple bam!!! Fundamental concepts in neural networks and AI!!! -- Optimizing weights and biases with backpropagation!!! -- Networks with multiple inputs and outputs!!! -- Simplifying outputs with ArgMax and SoftMax!!! -- Speeding up training with cross entropy!!! -- Image classification with convolutional neural networks!!! -- Stock prediction with recurrent neural networks (RNNs)!!! -- Better stock prediction with long short-term memory (LSTM)!!! -- Converting words to numbers with word embedding!!! -- Language translation with Seq2seq and encoder-decoder models!!! -- Better language translation with attention!!! -- Even better language translation with transformers!!! -- Generating lots of text with decoder-only transformers!!! -- Classification and clustering with encoder-only transformers!!! Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)4193754-5 |
| title | The StatQuest illustrated guide to neural networks and AI with hands-on examples in PyTorch!!! : triple bam!!! |
| title_alt | Illustrated guide to neural networks and AI Fundamental concepts in neural networks and AI!!! -- Optimizing weights and biases with backpropagation!!! -- Networks with multiple inputs and outputs!!! -- Simplifying outputs with ArgMax and SoftMax!!! -- Speeding up training with cross entropy!!! -- Image classification with convolutional neural networks!!! -- Stock prediction with recurrent neural networks (RNNs)!!! -- Better stock prediction with long short-term memory (LSTM)!!! -- Converting words to numbers with word embedding!!! -- Language translation with Seq2seq and encoder-decoder models!!! -- Better language translation with attention!!! -- Even better language translation with transformers!!! -- Generating lots of text with decoder-only transformers!!! -- Classification and clustering with encoder-only transformers!!! |
| title_auth | The StatQuest illustrated guide to neural networks and AI with hands-on examples in PyTorch!!! : triple bam!!! |
| title_exact_search | The StatQuest illustrated guide to neural networks and AI with hands-on examples in PyTorch!!! : triple bam!!! |
| title_full | The StatQuest illustrated guide to neural networks and AI with hands-on examples in PyTorch!!! : triple bam!!! by Josh Starmer, Ph.D. |
| title_fullStr | The StatQuest illustrated guide to neural networks and AI with hands-on examples in PyTorch!!! : triple bam!!! by Josh Starmer, Ph.D. |
| title_full_unstemmed | The StatQuest illustrated guide to neural networks and AI with hands-on examples in PyTorch!!! : triple bam!!! by Josh Starmer, Ph.D. |
| title_short | The StatQuest illustrated guide to neural networks and AI |
| title_sort | the statquest illustrated guide to neural networks and ai with hands on examples in pytorch triple bam |
| title_sub | with hands-on examples in PyTorch!!! : triple bam!!! |
| topic | Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Neuronales Netz Maschinelles Lernen |
| work_keys_str_mv | AT starmerjosh thestatquestillustratedguidetoneuralnetworksandaiwithhandsonexamplesinpytorchtriplebam AT starmerjosh illustratedguidetoneuralnetworksandai |