TensorFlow 2.0 Tutorial for Beginners 5 - 2D CNN in TensorFlow 2 for cifar10 Dataset Classification

In this video, we will use Tensorflow 2.0 and Keras to make 2D CNN. In which we will be using the Cifar10 dataset and it will be a king of the image classifier and the dataset is available at Kaggle as Cifar10- Object recognition in images. It has a total sixty thousand training images and ten thousand images for testing, the size of each image is 32X32 pixel and it is RGB image color that means the size of each image is 32X32X3. The last three are for the three dimensions Red, Blue, and Green pixels to represent its image into a color image.

🔊 Watch till last for a detailed description
03:50 What is CNN?
05:53 What convolutional layer?
08:03 What is the activation function?
10:07 What is stride size and padding?
12:47 Get started with code
19:23 Downloading the dataset
25:13 Build CNN model
41:20 Model accuracy and model loss
46:54 Confusion matrix

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