Author Archives: Dr. Vaibhav Kumar - Page 3
This article demonstrates how we can implement a Deep Learning model using PyTorch with TPU to accelerate the training process. Here, we define a Convolutional Neural Network (CNN) model using PyTorch and train this model in the PyTorch/XLA environment. XLA connects the CNN model with the Google Cloud TPU (Tensor Processing Unit) in the distributed multiprocessing environment. In this implementation, 8 TPU cores are used to create a multiprocessing environment.
The post How To Implement CNN Model Using PyTorch With TPU appeared first on Analytics India Magazine.
In this article, we present a very fast and effective way to neural style transfer in images using the TensorFlow Hub module. The TF-Hub module provides the pre-trained VGG Deep Convolutional Neural Network for style transfer. This approach takes less than four seconds to transfer style to a content image.
The post Hands-On guide To Neural Style Transfer using TensorFlow Hub Module appeared first on Analytics India Magazine.
In this article, we will train the machine learning classifier on Employment Scam Aegean Dataset (EMSCAD) to identify the fake job advertisements. First, we will visualize the insights from the fake and real job advertisement and then we will use the Support Vector Classifier in this task which will predict the real and fraudulent class labels for the job advertisements after successful training. Finally, we will evaluate the performance of our classifier using several evaluation metrics.
The post Classifying Fake and Real Job Advertisements using Machine Learning appeared first on Analytics India Magazine.
In this article, we will implement the LSTM Recurrent Neural Network to predict the foreign exchange rate. The LSTM model will be trained to learn the series of previous observations and predict the next observation in the sequence. We will apply this model in predicting the foreign exchange rate of India.
The post Foreign Exchange Rate Prediction using LSTM Recurrent Neural Network appeared first on Analytics India Magazine.
Natural Language Processing has many interesting applications and Sequence to Sequence modelling is one of those interesting applications. It has major applications in question-answering systems and language translation systems. Sequence-to-Sequence (Seq2Seq) modelling is about training the models that can convert sequences from one domain to sequences of another domain, for example, English to French. This…
The post Sequence-to-Sequence Modeling using LSTM for Language Translation appeared first on Analytics India Magazine.
In this article, we will train the machine learning classifiers to predict whether given news is real news or fake news. For this task, we will train three popular classification algorithms - Logistics Regression, Support Vector Classifier and the Naive-Bayes to predict the fake news. After evaluating the performance of all three algorithms, we will conclude which among these three is the best in the task.
The post Hands-On Guide to Predict Fake News Using Logistic Regression, SVM and Naive Bayes Methods appeared first on Analytics India Magazine.
In this article, we will compare the MobileNet and ResNet-50 architectures of the Deep Convolutional Neural Network. First, we will implement these two models in CIFAR-10 classification and then we will evaluate and compare both of their performances and with other transfer learning models in the same task.
The post MobileNet vs ResNet50 – Two CNN Transfer Learning Light Frameworks appeared first on Analytics India Magazine.
In this article, we will compare the MobileNet and ResNet-50 architectures of the Deep Convolutional Neural Network. First, we will implement these two models in CIFAR-10 classification and then we will evaluate and compare both of their performances and with other transfer learning models in the same task.
The post MobileNet vs ResNet50 – Two CNN Transfer Learning Light Frameworks appeared first on Analytics India Magazine.
In this article, we will discuss how an aspirant can prepare for the Chartered Data ScientistTM. Along with that, we will also recommend some useful study resources for better preparation.
The post Free Resources To Prepare For Chartered Data Scientist appeared first on Analytics India Magazine.
There are a variety of convolutional neural networks and all have their own advantage. With the varying architectures, these models have shown an overwhelming performance in a number of computer vision applications. EfficientNet is one of these variants of the Convolutional Neural Network. In this article, we will discuss the EfficientNet model with its implementation.…
The post Implementing EfficientNet: A Powerful Convolutional Neural Network appeared first on Analytics India Magazine.