Master Generative AI with 10+ Real-world Projects in 2025!
Customer segmentation to reduce churn, churn prediction, and recommendation to arrest churn are the three board areas that modern B2C firms.
R is not just a programming language rather it is a Statistical Programming Language and is different from Python.
In this article, we shall learn about Top 10 AI and Data Science trends in 2022 and understand the buzz created by big data, data analytics.
LSTMs are a stack of neural networks composed of linear layers; weights and biases. We will study the LSTM tutorial with its implementation.
In this article, you will learn about activation functions used for neural networks and their implementation using Python.
Dive into the world of neural networks in machine learning. Explore their applications in image recognition and natural language processing.
Discover feed forward neural networks, their layers, neuron weights, cost and loss functions, and the differences from backward networks.
Deep Learning uses convolutional neural network, where the word 'deep' signifies the presence of more than 1 or 2 hidden layers.
This article will help you to learn ten techniques for Deep Learning, each with its own set of capabilities and strategies.
This article touches on the task of regenerating images using a conditional Generative Adversarial Networks architecture.
Edit
Resend OTP
Resend OTP in 45s