Fundamentals of CNN and RNN with keras & tensorflow libs
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We are to implement a multi-class image classifier using CNNs
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Original images of 224 * 224 pixel, 15 different classes (of vegetables)
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We should consider 2 input sizes (grayscale images):
- 31 * 31 Pixels - labelled
"a"
throughout this notebook - 128 * 128 Pixels - labelled
"b"
throughout this notebook
- 31 * 31 Pixels - labelled
- Building a next word predictor, given a sequence of words
- We would try to predict the next 10 words for each given input of words
- Find ways to evaluate generated sequence of words (how meaningful / creative), using seed_texts as benchmark