Категории

Build a 2D convolutional neural network, part 6: Examples of successes and failures

Опубликовано: 06 Февраль 2021
на канале: Brandon Rohrer
769
8

Get the full course experience at https://e2eml.school/322

Put all the pieces together implementing a two dimensional convolutional neural network in Python to classify handwritten digits from the MNIST data set.

The remainder of the course dives into the implementation in detail and shows how to extend this example to the more challenging CIFAR-10 data set.

Смотрите видео Build a 2D convolutional neural network, part 6: Examples of successes and failures онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Brandon Rohrer 06 Февраль 2021, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 76 раз и оно понравилось людям.

play_arrow
36,59
31

جرس كنيسة اللاتين الأثرية يدق في سماء بغداد الحبيبة A Historic Church in Baghdad

جرس كنيسة اللاتين الأثرية يدق في سماء بغداد الحبيبة A Historic Church in Baghdad
play_arrow
12,04
19

Река Большой Иргиз, город Пугачев

Река Большой Иргиз, город Пугачев
play_arrow
15,10
45

Меркантильная птица!

Меркантильная птица!

play_arrow
70
5

TWIST MASTR, SPEAKS! her TRUTH! on being a entrepreneur in Minnesota! Celebrity Clients, & MORE!!

TWIST MASTR, SPEAKS! her TRUTH! on being a entrepreneur in Minnesota! Celebrity Clients, & MORE!!
play_arrow
1

new song ke bare Arjun r mehda kya bole kab aa rha final song

new song ke bare Arjun r mehda kya bole kab aa rha final song
play_arrow
1,09
11

Увлекательная поездка в Калининград! Mitsubishi из Якутии! НА КОЛЁСАХ 12серия

Увлекательная поездка в Калининград! Mitsubishi из Якутии! НА КОЛЁСАХ 12серия
play_arrow
67,23
2.9 тыс

5 Graphic Design Elements For 2023

5 Graphic Design Elements For 2023
play_arrow
1,66
2

Kawasaki KFX 700, Prairie, How To Reset The Belt Light, Limp Mode

Kawasaki KFX 700, Prairie, How To Reset The Belt Light, Limp Mode
Похожие видео
play_arrow
Copy Other Peoples Work

Copy Other Peoples Work
play_arrow
DataScienceForBeginnersSeriesPredictAnAnswerWithA high

DataScienceForBeginnersSeriesPredictAnAnswerWithA high
play_arrow
DataScienceForBeginnersIsYourDataReadyForDataScie high

DataScienceForBeginnersIsYourDataReadyForDataScie high
play_arrow
DataScienceForBeginnersAskQuestionYouCanAnswerWit high

DataScienceForBeginnersAskQuestionYouCanAnswerWit high
play_arrow
DataScienceForBeginners5QuestionsDataScienceCanAn high

DataScienceForBeginners5QuestionsDataScienceCanAn high
play_arrow
How Data Science Works

How Data Science Works
play_arrow
How k-nearest neighbors works

How k-nearest neighbors works
play_arrow
Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet

Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet
play_arrow
Build a 2D convolutional neural network, part 16: Cottonwood code tour

Build a 2D convolutional neural network, part 16: Cottonwood code tour
play_arrow
Build a 2D convolutional neural network, part 15: Rendering examples

Build a 2D convolutional neural network, part 15: Rendering examples
play_arrow
Build a 2D convolutional neural network, part 13: Loss history and text summary

Build a 2D convolutional neural network, part 13: Loss history and text summary
play_arrow
Build a 2D convolutional neural network, part 14: Collecting examples

Build a 2D convolutional neural network, part 14: Collecting examples
play_arrow
Build a 2D convolutional neural network, part 12: Testing loop

Build a 2D convolutional neural network, part 12: Testing loop
play_arrow
Build a 2D convolutional neural network, part 10: Connecting layers

Build a 2D convolutional neural network, part 10: Connecting layers
play_arrow
Build a 2D convolutional neural network, part 11: The training loop

Build a 2D convolutional neural network, part 11: The training loop
play_arrow
Build a 2D convolutional neural network, part 9: Adding layers

Build a 2D convolutional neural network, part 9: Adding layers
play_arrow
Build a 2D convolutional neural network, part 8: Training code setup

Build a 2D convolutional neural network, part 8: Training code setup
play_arrow
Build a 2D convolutional neural network, part 7: Why Cottonwood?

Build a 2D convolutional neural network, part 7: Why Cottonwood?
play_arrow
Build a 2D convolutional neural network, part 6: Examples of successes and failures

Build a 2D convolutional neural network, part 6: Examples of successes and failures
play_arrow
Build a 2D convolutional neural network, part 5: Pre-trained model results

Build a 2D convolutional neural network, part 5: Pre-trained model results
play_arrow
Build a 2D convolutional neural network, part 3: MNIST digits

Build a 2D convolutional neural network, part 3: MNIST digits
play_arrow
Build a 2D convolutional neural network, part 4: Model overview

Build a 2D convolutional neural network, part 4: Model overview
play_arrow
Build a 2D convolutional neural network, part 2: Overview

Build a 2D convolutional neural network, part 2: Overview
play_arrow
Build a 2D convolutional neural network, part 1: Getting started

Build a 2D convolutional neural network, part 1: Getting started