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Nationality predictor using LSTM
INTRODUCTION In this tutorial, we will learn how to build a nationality predictor using LSTM with the help of Keras TensorFlow API in Python. The model processes a person’s n.... Read More
Implementation of captch solver using Keras
INTRODUCTION Hi everyone. In the previous tutorial, we have seen how to build a captcha solver basic in TensorFlow using Keras. In this tutorial, we will look at how to implement t.... Read More
Feature disentanglement using PCA
INTRODUCTION In this tutorial, we will look at how to use feature entanglement for generalizing your model. In deep learning generalizing, your model is critical and even more impo.... Read More
Training a Captcha solver using TensorFlow CNN architecture
INTRODUCTION In this tutorial, we will learn how to design a captcha solver using TensorFlow CNN architecture with the help of Python programming. We will create our own CNN archit.... Read More
Using RNN to predict shakesphearean text
INTRODUCTION In this tutorial, we will look at building a Recurrent Neural Network model to predict the Shakespearean text using Keras TensorFlow API in Python. We will train the G.... Read More
Saliency maps for model interpretability in Python
INTRODUCTION In this tutorial, we will look at how to use a deep learning visualisation technique saliency maps for better model interpretability using Python with the help of Tens.... Read More
Ensemble deep learning model for pneumonia dataset
INTRODUCTION Ensemble learning is one of the most powerful deep learning techniques for getting great training accuracy. So in this tutorial, we are going to use ensemble learning .... Read More
Transfer learning for training pneumonia dataset
This tutorial will learn how to train a dataset s using data augmentation and pre-trained models. We will use google colab for our training and validation. Obtaining dataset from K.... Read More