TensorFlow

Using Custom Building Blocks in TensorFlow 2.0

Custom Data Generator, Layer, Loss function and Learning Rate Scheduler In this post, I will demonstrate how you can use custom building blocks for your deep learning model. Specifically, we will see how to use custom data generators, custom Keras layer, custom loss function, and a custom learning rate scheduler.

How to use a pre-defined Tensorflow Dataset?

Tensorflow 2.0 comes with a set of pre-defined ready to use datasets. It is quite easy to use and is often handy when you are just playing around with new models.

Write your First Neural Network Using TensorFlow

Introduction Neural Networks are a specific set of machine learning algorithms that are inspired by biological neural networks and they have revolutionized machine learning. In simple terms, they are general function approximations, which can be applied to almost any machine learning problem about learning a complex mapping from the input to the output space.