The objective of this challenge was to correctly classify images of leafs based on the species of the plant they belong.
We developed three different solutions for this problem :
- Convolutional Neural Network from scratch
- Transfer Learning approach with Adam optimiser
- Transfer Learning approach with SGD optimiser
Our best score was 0.9434 obtain with SGD and Adam.
The objective of this challenge was to forecast a composition of seven signals.
We developed three different solutions for this problem :
- LSTM Network with Direct Forecating
- LSTM Network with Autoregressive Forecasting
- Transformer
Our best MSE was 3.78 with the Autoregressive LSTM Network.
Total grade of both challenges : 10/11.