Deep Learning Techniques you Should Know in 2022
Over the years, Deep Learning has really taken off. This is because we have access to a lot more data…
Vanishing/Exploding Gradients in Deep Neural Networks
Building a Neural Network model can be very complicated and tuning the Neural Network model can make it even more…
Deep Learning: How it Works
Photo by JJ Ying on Unsplash Our lives have transitioned to revolve around Artificial Intelligence (AI) and Machine Learning (ML). Everybody is talking…
Model Interpretability Part 1: The Importance and Approaches
Source: eric susch Amazingly, we can use Machine Learning to make wonderful predictions and help us greatly in the decision-making process.…
Model Interpretability Part 2: Global Model Agnostic Methods
Photo by NASA on Unsplash As mentioned in Part 1 of Model Interpretability, the flexibility of model-agnostics is the greatest advantage, being the…
Model Interpretability Part 3: Local Model Agnostic Methods
Source: datarevenue If you haven’t already had a read of the other parts in this series, check them out: Model…
4 Techniques To Tackle Overfitting In Deep Neural Networks
Image Created By Author Using Canva A neural network is a combination of different neurons, layers, weights, and biases. The…