DL-workshop-series
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Machine-Learning-Tokyo
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Under import libraries make these changes from keras.utils import to_categorical to from tensorflow.keras.utils import to_categorical ================================== Under losses change cosine to cosine_similarity
chage change cosine to cosine_similarity from keras.utils import to_categorical to from tensorflow.keras.utils import to_categorical
In RefineNet of the [ConvNets.ipynb](https://github.com/Machine-Learning-Tokyo/DL-workshop-series/blob/master/Part%20I%20-%20Convolution%20Operations/ConvNets.ipynb) notebook, function `rcu` residual convolution unit. Code: x = ReLU()(tensor) x = Conv2D(f, 3, padding='same')(x) x = ReLU()(tensor) x = Conv2D(f, 3, padding='same')(x) maybe should...
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Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)