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Credits
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Classroom Contents
An AI Engineer's Guide to Machine Learning with Keras
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- 1 video start
- 2 Content intro
- 3 Google Colab and notebook Intro
- 4 05:26 1st Notebook model with only training data
- 5 Data Import
- 6 EDA Exploratory Data Analysis
- 7 Data Split Train and Target
- 8 Training data Transformation
- 9 Train and Test Data Split
- 10 Setup model network and layers
- 11 Network Visualization
- 12 Callback function to plot loss per epoch
- 13 Compile Model
- 14 Start Model Training
- 15 Callback function to plot loss & accuracy per epoch
- 16 Check model loss and accuracy in real time
- 17 Validate Model History
- 18 Check Model Performance
- 19 27:17 2nd Notebook model with training & validation data
- 20 Training data split into Train & Validation data
- 21 Compile Model & start Model Training
- 22 Check model loss and accuracy with validation in real time
- 23 Check Model Performance
- 24 Saving colab notebook to Github
- 25 Credits
