NISCAIR-MLCC-Notes

Keras - well documented codes for MLCC session on 19th November, 2018 at CSIR-NISCAIR - New Delhi

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Order to be followed

1. KerasBasics_1 -- Working on custom binary dataset -- Visualizing the data -- Making an MLP model to classify

2. KerasBasics_2 -- Working on custom Multi-Class dataset using numpy -- Visualizing the data -- Learning One-hot encoding of labels -- Making an MLP model to classify

3. KerasBasics_3 -- Working on real-world dataset (MNIST) -- Visualizing the data -- Making an MLP model to classify the data

4. Learn about Convolutional Neural Networks -- Watch the video/slides in the readme to learn about CNN and how they work

5. KerasBasics_4 -- Working on real-world dataset (MNIST) -- Visualizing the data -- Making an CNN model to classify the data

6. Cat and Dog classifier -- Downloading raw dataset of images -- Preprocessing the images and converting them to usable format -- Generating labels for the dataset -- Saving the dataset so that it can be reused -- Constructing a CNN model and training it using the dataset -- Saving the model -- using the model to test our own images

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CNN Explanation

• Video

• Slides Click here

[ Credits : Brandon Rohrer ]