Exercise 3: Improve accuracy of MNIST using Convolutions:code lab link
Improve MNIST to 99.8% accuracy or more using only a single convolutional layer and a single MaxPooling 2D.The filter amount will affect the accuracy and training time.
Improve MNIST to 99.8% accuracy or more using only a single convolutional layer and a single MaxPooling 2D.The filter amount will affect the accuracy and training time.
Declare a dummy I2C deivce share same device but different slave address
Write an MNIST classifier that trains to 99% accuracy or above, and does it without a fixed number of epochs -- i.e. you should stop training once you reach that level of accuracy.
Build a neural network that predicts the price of a house according to a simple formula, house pricing was as easy as a house costs 50k + 50k per bedroom, so that a 1 bedroom house costs 100k, a 2 bedroom house costs 150k etc.
Bedroom amount [1, 2, 3, 4,]
House price [100, 150, 200, 250]
char = strsplit(fileread ("Sample_Data.csv"));Dynamic debug is useful for debug driver, and can be enable by: 1. Mount debug fs #>mount -t debugfs none /sys/kernel/debug 2. Enable dy...