1 min readfrom Machine Learning

Visualization help [D]

Our take

If you're seeking clarity on the visual aspects of training neural networks, you're not alone. Understanding how models learn from images can be complex, but visualizing the training process can make it more accessible. By breaking down the steps involved—from data input to the adjustments made by the model—you can gain a clearer picture of how learning occurs. Engaging with resources or community members who can illustrate these concepts may empower your understanding and enhance your journey into AI.

I was recently watching andrew ng's course on cnn. But was not able to visualise things like how that works... One of my main question is how does training happens visually... Like the process is same across which an image has to go... So how do we say that the model trains... Etc...

Anyone who can explain and help visualise...

submitted by /u/cherry_190
[link] [comments]

Read on the original site

Open the publisher's page for the full experience

View original article

Tagged with

#rows.com#intelligent data visualization#data visualization tools#visualization#training process#model training#image processing#cnn#andrew ng#machine learning#data visualization#neural networks#visual representation#algorithm#image classification#explanation#training visualization#process visualization#parameter tuning#feature extraction