Build a 2D convolutional neural network, part 2: Overview

  Рет қаралды 1,146

Brandon Rohrer

Brandon Rohrer

3 жыл бұрын

Get the full course experience at 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.

Пікірлер
Build a 2D convolutional neural network, part 3: MNIST digits
2:18
Convolutional Neural Networks from Scratch | In Depth
12:56
WHO DO I LOVE MOST?
00:22
dednahype
Рет қаралды 23 МЛН
The day of the sea 🌊 🤣❤️ #demariki
00:22
Demariki
Рет қаралды 84 МЛН
Image Classification using CNN Keras | Full implementation
17:56
Coding Lane
Рет қаралды 161 М.
Machine Learning vs Deep Learning
7:50
IBM Technology
Рет қаралды 638 М.
The U-Net (actually) explained in 10 minutes
10:31
rupert ai
Рет қаралды 83 М.
What are Convolutional Neural Networks (CNNs)?
6:21
IBM Technology
Рет қаралды 276 М.
Gizli Apple Watch Özelliği😱
0:14
Safak Novruz
Рет қаралды 3,7 МЛН
🔥Идеальный чехол для iPhone! 📱 #apple #iphone
0:36
Не шарю!
Рет қаралды 1,3 МЛН
YOTAPHONE 2 - СПУСТЯ 10 ЛЕТ
15:13
ЗЕ МАККЕРС
Рет қаралды 74 М.