Dropout Regularization With Tensorflow Keras
Image By Author Deep neural networks are complex models which makes them much more prone to overfitting — especially when…
What is MLOps?
In Comet's 2021 Machine Learning Practitioner survey, 47% of respondents reported needing 4-6 months to deploy a single ML project,…
Why is Model Evaluation Important in Machine Learning?
Have you ever built a fully tuned model only for it to fall short of its expectations after deployment? In…
7 Optimization Methods Used In Deep Learning
Photo by Jo Coenen - Studio Dries 2.6 on Unsplash Optimization plays a vital role in the development of machine learning and…
Improving The Accuracy Of Your Neural Network
Photo by Preethi Viswanathan on Unsplash Neural networks were inspired by neural processing that occurs in the human brain. Though they are…
Activation Functions In Neural Networks
Photo by John Smit on Unsplash An activation function plays an important role in a neural network. It’s a function used in…
The Gradient Descent Algorithm
Photo by Todd Diemer on Unsplash Gradient descent is one of the most used optimization algorithms in machine learning. It’s highly likely you’ll…