Author Biographical Info: Currently, I am pursuing Computer science engineering with specialization in Machine Learning and AI from Graphic Era Hill University.
Neural Style Transfer with TensorFlow in Python
In this tutorial, We’ll learn about Neural Style Transfer and how to perform it using the VGG19 model using the Python TensorFlow deep learning module. Neural style transfer (NST) is an optimization technique which takes two images, a Content image (the one you want to edit) and a style quotation image, and combine them together […] Read More
Sentiment Analysis using BERT in Python
In this article, We’ll Learn Sentiment Analysis Using Pre-Trained Model BERT. For this, you need to have Intermediate knowledge of Python, little exposure to Pytorch, and Basic Knowledge of Deep Learning. We will be using the SMILE Twitter dataset for the Sentiment Analysis. Read about the Dataset and Download the dataset from this link. Well […] Read More
Emotion Detection Using CNN in Python Using Keras
In this article, We’ll Learn Real-Time Emotion Detection Using CNN. The Dataset we will use is already present in Kaggle you can download the dataset from here – Dataset-FER2013, It contains 48*48 px grayscale images. There are 7 classes/categories in this dataset (0=angry, 1=disgust, 2=fear, 3=happy, 4=sad, 5=surprise, 6=neutral). Note: Use Google Colab and enab Read More
Multi-Class Image Classification Using Keras in Python
In this article, We’ll work on a Dataset having Multiple Classes using Keras in Python. We’ll be creating a basic CNN architecture and will work on the Fashion MNIST dataset. You can read about the dataset from the following link- Dataset-Fashion MNIST. I hope you must have installed all the required libraries. Let’s Start and […] Read More
Meme Classification Using CNN in Python
In this article, we will work on Image Classification using TensorFlow, to classify an image as a MEME or NOT. And I’ll be telling you how to create your own dataset rather than .... Read More