Tutorials

PyTorch versus TensorFlow

There is a vast array of deep learning frameworks, and many of them are viable tools, but the duopoly of TensorFlow and PyTorch is...

Introduction to PyTorch

PyTorch is a Python-based scientific computing package that is a replacement for NumPy to use the power of GPUs and TPUs and an automatic...

Introduction to TensorFlow

TensorFlow is an open-source software library designed by the Google team to facilitate machine learning and deep learning concepts in the most straightforward manner....

Getting Started With Pytorch In Google Collab With Free GPU

In this post, we will discuss the basics of pytorch by using the google colab gpu

Implementing Batching for Seq2Seq Models in Pytorch

In this tutorial, we will discuss how to implement the batching in sequence2sequene models using Pytorch. We will implement batching by building a Recurrent...

Classifying the Name Nationality of a Person using LSTM and Pytorch

Recurrent Neural Networks(RNN) are a type of Neural Network where the output from the previous step is fed as input to the current step. In the case of Convolution Neural Networks (CNN), the output from the softmax layer in the context of image classification is entirely independent of the previous input image.

Recognizing Malaria Cells Using Keras Convolutional Neural Network(CNN)

Artificial Intelligence has vast-ranging attention and its utilization in the healthcare business or industry. As an intense learner and a Kaggle beginner, I chose...

Create a Neural Network With PyTorch

PyTorch is an Artificial Intelligence library that has been created by Facebook's artificial intelligence research group . The source code is accessible on GitHub...

Classify Handwritten-Digits With Tensorflow

One of the capabilities of deep learning is image recognition, The “hello world” of object recognition for machine learning and deep learning is the...

Deep Learning with Keras – Part 6: Textual Data Preprocessing

Intro Congratulations for going far in this Keras tutorial. After working with numeric, categorical and image data, it is time to handle textual data. Deep...

Introduction to Image Classification using Pytorch to Classify FashionMNIST Dataset

In this blog post, we will discuss how to build a Convolution Neural Network that can classify Fashion MNIST data using Pytorch on Google Colaboratory. The way we do that is, first we will download the data using Pytorch DataLoader class and then we will use LeNet-5 architecture to build our model. Finally, we will train our model on GPU and evaluate it on the test data.

Exploratory Data Analysis Tutorial: Analyzing the Food Culture of Bangalore

In this blog post, we will discuss how to perform exploratory data analysis by creating awesome visualizations using matplotlib and seaborn by taking a real-world data set.

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