The Complete Self-Driving Car Course - Applied Deep Learning:
Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python About This Video The transition from a beginner to deep learning expert Learn through demonstrations as your instructor completes each task with you No experience required In Detail Self-drivin...
Saved in:
| Main Authors: | , , , |
|---|---|
| Corporate Author: | |
| Format: | Electronic Video |
| Language: | English |
| Published: |
[Erscheinungsort nicht ermittelbar]
Packt Publishing
2019
|
| Edition: | 1st edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781838829414/?ar |
| Summary: | Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python About This Video The transition from a beginner to deep learning expert Learn through demonstrations as your instructor completes each task with you No experience required In Detail Self-driving cars have emerged to be one of the most transformative technologies. Fueled by deep learning algorithms, they are rapidly developing and creating new opportunities in the mobility sector. Deep learning jobs command some of the highest salaries in the development world. This is the first and one of the only courses that make practical use of deep learning and applies it to building a self-driving car. You'll learn and master deep learning in this fun and exciting course with top instructor Rayan Slim. Having trained thousands of students, Rayan is a highly rated and experienced instructor who follows a learning-by-doing approach. By the end of the course, you will have built a fully functional self-driving car powered entirely by deep learning. This powerful simulation will impress even the most senior developers and ensure you have hands-on skills in neural networks that you can bring to any project or company. This course will show you how to do the following: Use Computer Vision techniques via OpenCV to identify lane lines for a self-driving car Train a perceptron-based neural network to classify between binary classes Train convolutional neural networks to identify various traffic signs Train deep neural networks to fit complex datasets Master Keras, a power neural network library written in Python Build and train a fully functional self-driving car Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/The-Complete-Self-Driving-Car-Course--Applied-Deep-Learning . If you require support please email: customercarepackt.com. |
| Item Description: | Online resource; Title from title screen (viewed April 4, 2019) |
| Physical Description: | 1 Online-Ressource (1 video file, approximately 17 hr., 50 min.) |
| Format: | Mode of access: World Wide Web. |
| ISBN: | 1838829415 9781838829414 |
Staff View
MARC
| LEADER | 00000cgm a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-051701863 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121032.0 | ||
| 006 | m o | | | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 200417s2019 xx ||| |o o ||eng c | ||
| 020 | |a 1838829415 |9 1-83882-941-5 | ||
| 020 | |a 9781838829414 |9 978-1-83882-941-4 | ||
| 020 | |a 9781838829414 |9 978-1-83882-941-4 | ||
| 035 | |a (DE-627-1)051701863 | ||
| 035 | |a (DE-599)KEP051701863 | ||
| 035 | |a (ORHE)9781838829414 | ||
| 035 | |a (DE-627-1)051701863 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a E VIDEO | |
| 100 | 1 | |a Slim, Rayan |e VerfasserIn |4 aut | |
| 245 | 1 | 4 | |a The Complete Self-Driving Car Course - Applied Deep Learning |c Slim, Rayan |
| 250 | |a 1st edition. | ||
| 264 | 1 | |a [Erscheinungsort nicht ermittelbar] |b Packt Publishing |c 2019 | |
| 264 | 2 | |a Boston, MA |b Safari. | |
| 300 | |a 1 Online-Ressource (1 video file, approximately 17 hr., 50 min.) | ||
| 336 | |a zweidimensionales bewegtes Bild |b tdi |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online resource; Title from title screen (viewed April 4, 2019) | ||
| 520 | |a Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python About This Video The transition from a beginner to deep learning expert Learn through demonstrations as your instructor completes each task with you No experience required In Detail Self-driving cars have emerged to be one of the most transformative technologies. Fueled by deep learning algorithms, they are rapidly developing and creating new opportunities in the mobility sector. Deep learning jobs command some of the highest salaries in the development world. This is the first and one of the only courses that make practical use of deep learning and applies it to building a self-driving car. You'll learn and master deep learning in this fun and exciting course with top instructor Rayan Slim. Having trained thousands of students, Rayan is a highly rated and experienced instructor who follows a learning-by-doing approach. By the end of the course, you will have built a fully functional self-driving car powered entirely by deep learning. This powerful simulation will impress even the most senior developers and ensure you have hands-on skills in neural networks that you can bring to any project or company. This course will show you how to do the following: Use Computer Vision techniques via OpenCV to identify lane lines for a self-driving car Train a perceptron-based neural network to classify between binary classes Train convolutional neural networks to identify various traffic signs Train deep neural networks to fit complex datasets Master Keras, a power neural network library written in Python Build and train a fully functional self-driving car Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/The-Complete-Self-Driving-Car-Course--Applied-Deep-Learning . If you require support please email: customercarepackt.com. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 650 | 0 | |a Machine learning | |
| 650 | 0 | |a Computer vision | |
| 650 | 0 | |a Automated vehicles | |
| 650 | 0 | |a Automobiles |x Automatic control | |
| 650 | 0 | |a Automated vehicles |x Design and construction | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Vision par ordinateur | |
| 650 | 4 | |a Véhicules autonomes | |
| 650 | 4 | |a Automobiles ; Commande automatique | |
| 650 | 4 | |a Electronic videos | |
| 700 | 1 | |a Slim, Jad |e VerfasserIn |4 aut | |
| 700 | 1 | |a Sharaf, Amer |e VerfasserIn |4 aut | |
| 700 | 1 | |a Tanveer, Sarmad |e VerfasserIn |4 aut | |
| 710 | 2 | |a Safari, an O'Reilly Media Company. |e MitwirkendeR |4 ctb | |
| 776 | 1 | |z 1838829415 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 1838829415 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781838829414/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 935 | |c vide | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-051701863 |
|---|---|
| _version_ | 1831287160894914562 |
| adam_text | |
| any_adam_object | |
| author | Slim, Rayan Slim, Jad Sharaf, Amer Tanveer, Sarmad |
| author_corporate | Safari, an O'Reilly Media Company |
| author_corporate_role | ctb |
| author_facet | Slim, Rayan Slim, Jad Sharaf, Amer Tanveer, Sarmad Safari, an O'Reilly Media Company |
| author_role | aut aut aut aut |
| author_sort | Slim, Rayan |
| author_variant | r s rs j s js a s as s t st |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)051701863 (DE-599)KEP051701863 (ORHE)9781838829414 |
| dewey-raw | E VIDEO |
| dewey-search | E VIDEO |
| edition | 1st edition. |
| format | Electronic Video |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04100cgm a22006012c 4500</leader><controlfield tag="001">ZDB-30-ORH-051701863</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121032.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200417s2019 xx ||| |o o ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1838829415</subfield><subfield code="9">1-83882-941-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781838829414</subfield><subfield code="9">978-1-83882-941-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781838829414</subfield><subfield code="9">978-1-83882-941-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)051701863</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP051701863</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781838829414</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)051701863</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">E VIDEO</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Slim, Rayan</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The Complete Self-Driving Car Course - Applied Deep Learning</subfield><subfield code="c">Slim, Rayan</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Erscheinungsort nicht ermittelbar]</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2019</subfield></datafield><datafield tag="264" ind1=" " ind2="2"><subfield code="a">Boston, MA</subfield><subfield code="b">Safari.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 video file, approximately 17 hr., 50 min.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">zweidimensionales bewegtes Bild</subfield><subfield code="b">tdi</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; Title from title screen (viewed April 4, 2019)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python About This Video The transition from a beginner to deep learning expert Learn through demonstrations as your instructor completes each task with you No experience required In Detail Self-driving cars have emerged to be one of the most transformative technologies. Fueled by deep learning algorithms, they are rapidly developing and creating new opportunities in the mobility sector. Deep learning jobs command some of the highest salaries in the development world. This is the first and one of the only courses that make practical use of deep learning and applies it to building a self-driving car. You'll learn and master deep learning in this fun and exciting course with top instructor Rayan Slim. Having trained thousands of students, Rayan is a highly rated and experienced instructor who follows a learning-by-doing approach. By the end of the course, you will have built a fully functional self-driving car powered entirely by deep learning. This powerful simulation will impress even the most senior developers and ensure you have hands-on skills in neural networks that you can bring to any project or company. This course will show you how to do the following: Use Computer Vision techniques via OpenCV to identify lane lines for a self-driving car Train a perceptron-based neural network to classify between binary classes Train convolutional neural networks to identify various traffic signs Train deep neural networks to fit complex datasets Master Keras, a power neural network library written in Python Build and train a fully functional self-driving car Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/The-Complete-Self-Driving-Car-Course--Applied-Deep-Learning . If you require support please email: customercarepackt.com.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer vision</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Automated vehicles</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Automobiles</subfield><subfield code="x">Automatic control</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Automated vehicles</subfield><subfield code="x">Design and construction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vision par ordinateur</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Véhicules autonomes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Automobiles ; Commande automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic videos</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Slim, Jad</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sharaf, Amer</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tanveer, Sarmad</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Safari, an O'Reilly Media Company.</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">1838829415</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">1838829415</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781838829414/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="935" ind1=" " ind2=" "><subfield code="c">vide</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-051701863 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:25:31Z |
| institution | BVB |
| isbn | 1838829415 9781838829414 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 video file, approximately 17 hr., 50 min.) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Slim, Rayan VerfasserIn aut The Complete Self-Driving Car Course - Applied Deep Learning Slim, Rayan 1st edition. [Erscheinungsort nicht ermittelbar] Packt Publishing 2019 Boston, MA Safari. 1 Online-Ressource (1 video file, approximately 17 hr., 50 min.) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title screen (viewed April 4, 2019) Use deep learning, Computer Vision, and machine learning techniques to build an autonomous car with Python About This Video The transition from a beginner to deep learning expert Learn through demonstrations as your instructor completes each task with you No experience required In Detail Self-driving cars have emerged to be one of the most transformative technologies. Fueled by deep learning algorithms, they are rapidly developing and creating new opportunities in the mobility sector. Deep learning jobs command some of the highest salaries in the development world. This is the first and one of the only courses that make practical use of deep learning and applies it to building a self-driving car. You'll learn and master deep learning in this fun and exciting course with top instructor Rayan Slim. Having trained thousands of students, Rayan is a highly rated and experienced instructor who follows a learning-by-doing approach. By the end of the course, you will have built a fully functional self-driving car powered entirely by deep learning. This powerful simulation will impress even the most senior developers and ensure you have hands-on skills in neural networks that you can bring to any project or company. This course will show you how to do the following: Use Computer Vision techniques via OpenCV to identify lane lines for a self-driving car Train a perceptron-based neural network to classify between binary classes Train convolutional neural networks to identify various traffic signs Train deep neural networks to fit complex datasets Master Keras, a power neural network library written in Python Build and train a fully functional self-driving car Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/The-Complete-Self-Driving-Car-Course--Applied-Deep-Learning . If you require support please email: customercarepackt.com. Mode of access: World Wide Web. Machine learning Computer vision Automated vehicles Automobiles Automatic control Automated vehicles Design and construction Apprentissage automatique Vision par ordinateur Véhicules autonomes Automobiles ; Commande automatique Electronic videos Slim, Jad VerfasserIn aut Sharaf, Amer VerfasserIn aut Tanveer, Sarmad VerfasserIn aut Safari, an O'Reilly Media Company. MitwirkendeR ctb 1838829415 Erscheint auch als Druck-Ausgabe 1838829415 |
| spellingShingle | Slim, Rayan Slim, Jad Sharaf, Amer Tanveer, Sarmad The Complete Self-Driving Car Course - Applied Deep Learning Machine learning Computer vision Automated vehicles Automobiles Automatic control Automated vehicles Design and construction Apprentissage automatique Vision par ordinateur Véhicules autonomes Automobiles ; Commande automatique Electronic videos |
| title | The Complete Self-Driving Car Course - Applied Deep Learning |
| title_auth | The Complete Self-Driving Car Course - Applied Deep Learning |
| title_exact_search | The Complete Self-Driving Car Course - Applied Deep Learning |
| title_full | The Complete Self-Driving Car Course - Applied Deep Learning Slim, Rayan |
| title_fullStr | The Complete Self-Driving Car Course - Applied Deep Learning Slim, Rayan |
| title_full_unstemmed | The Complete Self-Driving Car Course - Applied Deep Learning Slim, Rayan |
| title_short | The Complete Self-Driving Car Course - Applied Deep Learning |
| title_sort | complete self driving car course applied deep learning |
| topic | Machine learning Computer vision Automated vehicles Automobiles Automatic control Automated vehicles Design and construction Apprentissage automatique Vision par ordinateur Véhicules autonomes Automobiles ; Commande automatique Electronic videos |
| topic_facet | Machine learning Computer vision Automated vehicles Automobiles Automatic control Automated vehicles Design and construction Apprentissage automatique Vision par ordinateur Véhicules autonomes Automobiles ; Commande automatique Electronic videos |
| work_keys_str_mv | AT slimrayan thecompleteselfdrivingcarcourseapplieddeeplearning AT slimjad thecompleteselfdrivingcarcourseapplieddeeplearning AT sharafamer thecompleteselfdrivingcarcourseapplieddeeplearning AT tanveersarmad thecompleteselfdrivingcarcourseapplieddeeplearning AT safarianoreillymediacompany thecompleteselfdrivingcarcourseapplieddeeplearning AT slimrayan completeselfdrivingcarcourseapplieddeeplearning AT slimjad completeselfdrivingcarcourseapplieddeeplearning AT sharafamer completeselfdrivingcarcourseapplieddeeplearning AT tanveersarmad completeselfdrivingcarcourseapplieddeeplearning AT safarianoreillymediacompany completeselfdrivingcarcourseapplieddeeplearning |