CNTK – Recurrent Neural Network
Now, let us understand how to construct a Recurrent Neural Network (RNN) in CNTK. Introduction We learned how to classify images with a neural network, and it is one of…
Now, let us understand how to construct a Recurrent Neural Network (RNN) in CNTK. Introduction We learned how to classify images with a neural network, and it is one of…
In this chapter, let us study how to construct a Convolutional Neural Network (CNN) in CNTK. Introduction Convolutional neural networks (CNNs) are also made up of neurons, that have learnable…
In this chapter, we will understand how to monitor a model in CNTK. Introduction In previous sections, we have done some validation on our NN models. But, is it also…
In this chapter, how to measure performance of out-of-memory datasets will be explained. In previous sections, we have discussed about various methods to validate the performance of our NN, but…
Here, we will study about measuring performance with regards to a regression model. Basics of validating a regression model As we know that regression models are different than classification models,…
This chapter will help you to understand how to measure performance of classification model in CNTK. Let us begin with confusion matrix. Confusion matrix Confusion matrix - a table with…
Let us understand, what is neural network binary classification using CNTK, in this chapter. Binary classification using NN is like multi-class classification, the only thing is that there are just…
In this chapter, we will study how to classify neural network by using CNTK. Introduction Classification may be defined as the process to predict categorial output labels or responses for…
This chapter will explain how to measure the model performance in CNKT. Strategy to validate model performance After building a ML model, we used to train it using a set…
In this chapter, we will learn about how to work with the in-memory and large datasets in CNTK. Training with small in memory datasets When we talk about feeding data…