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Creating & Visualizing Neural Network in R
Neural network is an information-processing machine. This article contains basics of neural networks and implementation of neural networks in R.
Guest Blog 16 Apr, 2024
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Getting Started with Audio Data Analysis using Deep Learning (with case study)
This article gets you started with audio data. This includes audio and voice data analysis using deep learning with case study on various sounds.
Faizan Shaikh 27 Aug, 2021
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Finding chairs the data scientist way! (Hint: using Deep Learning) – Part I
A fun deep learning project to count chairs, their location in a room from an image provided. The article lays challenges & approach using Imagenet & YOLO
Faizan Shaikh 17 Aug, 2017
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10 Advanced Deep Learning Architectures Data Scientists Should Know!
Deep learning architectures that every data scientist should know. In this article, learn about advanced architectures and types of computer vision tasks.
Faizan Shaikh 15 Jun, 2023
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30 Questions to test a Data Scientist on Deep Learning (Solution – Skill test, July 2017)
Questions on deep learning and neural networks to test the skills of a data scientist. This article includes deep learning questions with solutions.
Dishashree Gupta 03 Feb, 2023
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Debugging & Visualising training of Neural Network with TensorBoard
Tensorboard helps to train NN models. This article is an overview of tensorboard and a framework for training a neural network using tensorboard with keras.
Faizan Shaikh 24 May, 2020
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Architecture of Convolutional Neural Networks (CNNs) demystified
Convolutional neural network architecture and cnn image recognition. In this article, learn about convolutional neural networks and cnn to classify images.
Dishashree Gupta 24 May, 2020
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Hands on with Deep Learning – Solution for Age Detection Practice Problem
This article provides a simple deep learning based solution to Age detection problem. This includes use of neural networks & keras to predict age of person
Faizan Shaikh 26 Jul, 2020
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Introductory guide to Generative Adversarial Networks (GANs) and their promise!
An introduction to generative adversarial networks and generative models. Beginners guide to understand how GANs work in computer vision.
Faizan Shaikh 02 Aug, 2024
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Getting started with Deep Learning using Keras and TensorFlow in R
Get started with deep learning with keras and tensorflow in r. Learn how to install keras with tensorflow in R & build a neural network model on MNIST dataset.
NSS 24 May, 2020
