Walkthrough on how to fetch, load, and pre-process image dataset for Deep Learning by Raviraj Dasari

preview_player
Показать описание
This video is specifically made for Deep Learning Bootcamp learners. Hence, the scope might seem limited.

------
Connect with us-

Рекомендации по теме
Комментарии
Автор

Guys you are amazing ! Please continue the great work ❤

momoben
Автор

Thanks for this amazing video
All concepts regarding data pre-processing cleared!! :)

talalzafar
Автор

What should be done when the model is not predicting properly?

tejaswivegi
Автор

what we have to do if our dataset dont have class names like cat or dog only it have images of both of them without class names then how to do preprocessing for that type of dataset?

saiprasanthpaladugula
Автор

Hello Raviraj, will the simple ANN accept image as input? I got the shape mismatch error while using the below code.

model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Dense(1024, activation='relu'))

model.add(tf.keras.layers.Dense(2, activation = 'softmax'))

input_shape = (32, 100, 100, 3)
model.build(input_shape)

ankitchaturvedi
Автор

input_shape was never defined. This tutorial cannot be completed.

nikependragon
Автор

a bit confusing - using the word 'label' to refer to a file name (rather than a Target).

gailwittichlive