Useful tips for everyday
How do we split data in machine learning? The data should ideally be divided into 3 sets – namely, train, test, and holdout cross-validation or…
Which learning model is useful in feedforward network? Just like machine learning algorithms, feedforward networks are also trained using gradients based learning, in such learning…
What is hybrid artificial intelligence? Hybrid AI brings together the best aspects of neural networks and symbolic AI. Combining huge data sets (visual and audio,…
How long does BERT take to fine tune? As you can see, I only have 22.000 parameters to learn I don’t understand why it takes…
How do I define a feature detector on CNN? A feature detector is also referred to as a kernel or a filter. Intuitively, the matrix…
Is C good for Artificial Intelligence? Modern AI software typically incorporates both low- and high-level languages for software development and is often coupled with some…
How do you calculate bias in regression? Bias and variance for various regularization values Bias is computed as the distance from the average prediction and…
What are DCNNs? Deep convolutional networks (DCNNs) are achieving previously unseen performance in object classification, raising questions about whether DCNNs operate similarly to human vision.…
How do you stay up to date with deep learning research? Those are: conferences, Twitter, engineering blogs, newsletters, research papers, and YouTube. CONFERENCE. At the…
What is the vanishing gradient problem and how do we overcome that? Solutions: The simplest solution is to use other activation functions, such as ReLU,…