Need of Keras Functional API's
The Keras Functional API's are the way to go for defining complex models,such as multi-output model,directed acyclic graph or models with shared layers.
Dropout,Validation_set, and Verbose in Multi Layer Perceptron Classification Model
Dropout :Dropout is a technique used to tackle overfitting.The Dropout method
Training Deep Multi-Layer Perceptron model on MNIST dataset
MNIST is a large database of handwritten digits.
Difference between batch_size and epochs
Difference between batch_size and epochSuppose you want to train train your
Keras Sequential Model
Sequential Model is a linear stack of layers.Creating Sequential Model:We
How Keras Deep Learning Model Works
One of the simplest type of model we use in Keras is Sequential Model i.e a linear stack of layers.
Keras For Beginners
Keras is a high level neural network API,written in Python and capable of running on top of Tensorflow,CNTK and Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
YAD2K : Yet Another Darknet 2 Keras
YAD2K is used to convert Darknet models to Keras. YAD2K is 90% of keras and 10% of Tensorflow implementation of YOLO_v2.Original paper: YOLO9000: Better, Faster, Stronger by Joseph Redmond and Ali Farhadi.
Machine Learning Libraries in Python
Today,Python is a trending language in the industry and it replaced many of the other programming languages.Machine Learning got easier in Python than from any other language. Whether it is Machine learning or Artificial Intelligence or Data Science it is fun doing with Python.