Hi there!
Achieved 57,95% accuracy on test dataset. The model has 3 hidden layers: 4000 -> 1000 -> 4000 nodes, activation functions: PReLU -> SELU -> PReLU.
Also in the blogpost tried models with different complexity in an endevour to predict annual income based on census data.
Hello Jovian forum. I would like to share my final version of the assignment 3. This will be a blog post with the necessary corrections and the respective final chosen version of the notebook for the assignment:
Hello Friends…
Just WAIT WAIT…a little bit
Here is my notebook on The CIFAR10 dataset…
I have done it with a varied set of LEARNING RATES & HYPERPARAMETERS…
Achieved an ACCURACY of about 54%.
So,
Do check it out, please…
Here’s the link :
And wait…
Here’s the Link to my blog post
Check it out for sure.
Waiting for your responses…
Do let me know if there’s anything.