Learn Data Science using Python

Another post starts with you beautiful people! Hope you have learnt the core concepts of Deep Learning from my  previous post . If not please visit once because it is required before creating our first keras model.  Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. Keras workflow has following four steps- Specify the architecture, Compile the model, Fit the model, Predict. Let's understand how we can achieve each steps- Specify the architecture:- In the first step you define the architecture of your model like- how many layers do you want? how many nodes in each layer? what activation function do you want to use? Compile the model:- This step specifies the loss function and some details about optimization. Fit the model:- This step is the cycle of Backpropagation and model optimization of model weights with your data. Predict:-  In this last step you use your model to make predictions. ...