Загрузка страницы
Все видеоНовые видеоПопулярные видеоКатегории видео

Beginner Intro to Neural Networks 12: Neural Network in Python from Scratch

Handwriting generation with recurrent neural networks: https://www.cs.toronto.edu/~graves/handwriting.html

Notebook with neural net:
https://github.com/JonComo/flowers/blob/master/flowers.ipynb

Music:
Pookatori and Friends Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License
http://creativecommons.org/licenses/by/3.0/

Hey everyone!

In this video we solve the flower problem "by hand" using python, and do it interactively in jupyter notebook/IPython.

You'll see everything from weight initialization, to the feed forward and backward passes used to train the net, to inference on some crazy types of flowers.

Also as a bonus I left in my hyperparameter (learning rate, training iterations, weight variance etc.) "dancing" for fun!

Thanks for watching. Appreciate seeing you all here still. I'm starting to work on these videos full time. Let me know what you'd like to see next!

See you in the next video,
- gnn

Видео Beginner Intro to Neural Networks 12: Neural Network in Python from Scratch канала giant_neural_network
Показать
Комментарии отсутствуют
Введите заголовок:

Введите адрес ссылки:

Введите адрес видео с YouTube:

Зарегистрируйтесь или войдите с
Информация о видео
26 июня 2017 г. 9:58:32
00:35:15
giant_neural_network
Теги
Правообладателям
Жалоба
Комментарии
Другие видео канала
today I tried: Evolution Strategiestoday I tried: Evolution StrategiesTic Tac Toe A.I.Tic Tac Toe A.I.MIT 6.S191 (2020): Introduction to Deep LearningMIT 6.S191 (2020): Introduction to Deep LearningBeginner Intro to Neural Networks 1: Data and GraphingBeginner Intro to Neural Networks 1: Data and GraphingWeiwei Pan: What Are Useful Uncertainties in Deep Learning and How Do We Get Them? | IACS SeminarWeiwei Pan: What Are Useful Uncertainties in Deep Learning and How Do We Get Them? | IACS SeminarNeural Networks | E02: predictions (unfinished series)Neural Networks | E02: predictions (unfinished series)Math and Animation Tool TutorialMath and Animation Tool TutorialBeginner Intro to Neural Networks 11: Neural Network in JavascriptBeginner Intro to Neural Networks 11: Neural Network in JavascriptDeep Learning In 5 Minutes | What Is Deep Learning? | Deep Learning Explained Simply | SimplilearnDeep Learning In 5 Minutes | What Is Deep Learning? | Deep Learning Explained Simply | SimplilearnWATCH: Elon Musk's Neuralink Presentation (full working demo)WATCH: Elon Musk's Neuralink Presentation (full working demo)Machine Learning in Python: Building a Linear Regression ModelMachine Learning in Python: Building a Linear Regression ModelTheory of Neural Networks - Deep Learning Without FrameworksTheory of Neural Networks - Deep Learning Without FrameworksBeginner Intro to Neural Networks 2: Functions and PredictionsBeginner Intro to Neural Networks 2: Functions and PredictionsBeginner Intro to Neural Networks 10: Finding Linear Regression ParametersBeginner Intro to Neural Networks 10: Finding Linear Regression ParametersBeginner Intro to Neural Networks 6: Slope of the Cost FunctionBeginner Intro to Neural Networks 6: Slope of the Cost FunctionBeginner Intro to Neural Networks 4: First Neural Network in PythonBeginner Intro to Neural Networks 4: First Neural Network in PythonNeural Networks from Scratch - P.7 Calculating Loss with Categorical Cross-EntropyNeural Networks from Scratch - P.7 Calculating Loss with Categorical Cross-EntropyKeras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners TutorialKeras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
Статистика портала
Яндекс.Метрика
© 2008-2024 «Информационно-развлекательный портал города Верхняя Салда»
| Карта портала | Реклама | Контакты | Сообщить об ошибке | Соглашения
salda.ws salda.ws@mail.ru
Сейчас на сайте: 512 Статистика портала