Convolutional neural networks (CNNs) are a type of deep learning algorithm that has been used in a variety of real-world…
Credit card fraud detection is a major concern for credit card companies. With credit cards so prevalent in our society,…
Graph neural networks (GNNs) are a relatively new area in the field of deep learning. They arose from graph theory…
The drug discovery process is tedious, time-consuming, and expensive. A drug company has to identify the compounds that are most…
The disease diagnosis process has been the same for decades- a physician would analyze symptoms, perform lab tests, and refer…
Deepfake are becoming a more common occurrence in today's world. What is deepfake and how can you create it using…
In this post, you get an access to curated list of 50+ Youtube courses on machine learning, deep learning, NLP,…
In this post, you get access to top Youtube free AI/machine learning courses. The courses are suitable for data scientists…
In this post, you will get information regarding the online Jupyter notebooks platform (GPU-based) which you can use to get…
This post highlights the top deep learning myths you should know. This is important to understand in order to leverage…
In this post, you will learn about when to go for training deep learning models from the perspective of model…
This post is a quick check on the timeline including historical dates in relation to the evolution of deep learning. Without…
In this post, you will learn about how to train a Keras Convolution Neural Network (CNN) for image classification. Before going…
In this post, you will learn about the basic concepts of convolutional neural network (CNN) explained with examples. As data scientists /…
In this post, you will learn about how to train neural network for regression machine learning problems using Python Keras.…
In this post, you will learn about when to use categorical cross entropy loss function when training neural network using…