WorksheetsFinTech 14-2 Deep Learning
Total questions: 8
Worksheet time: 10mins
Which were objectives for Deep Learning day 2?
Deploy models in the cloud using Google Colaboratory.
Explain the difference between neural networks and deep neural networks.
Use deep learning for time series and sentiment analysis.
Save trained deep learning models built in Keras for further usage.
What makes a neural net a deep neural net?
Makes a difficult prediction.
Has more than one hidden layer.
Uses more than one activation layer.
Completes more than 100 epochs.
How can we check if a neural net is overfitting?
Check the loss function plot of the test and train data.
Compare the F1 scores.
See where the elbow curve bends most.
Check the prediction accuracy.
What format do we save a model in?
json
csv
h5
txt
What are some benefits of Google Colab?
Get access to Tensor Processing Units.
Share files across Google Drive.
Host your own notebooks locally.
Get code snippets.
How do you install a missing library to Colab?
pip install <library_name>
!pip install <library_name>
conda install <library_name>
!conda install <library_name>
How was Deep Learning day 2 for you?
Any suggestions for improvement?
