In this video, we will learn deep learning with TensorFlow 2.0 and we will see how to build ANN with TensorFlow 2.0 and Keras. Artificial Neural Networks (ANN) is a supervised learning system built of a large number of simple elements, called neurons or perceptrons. Each neuron can make simple decisions and feeds those decisions to other neurons, organized in interconnected layers.
🔊 Watch till last for a detailed description
03:05 What is ANN?
06:17 What is the activation function?
11:55 Get started with code
27:06 Feature standardization
30:20 Building ANN
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