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a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
5
votes
1
answer
1k
views
Understanding Tensorflow LSTM models?
I have some trouble understanding LSTM models in TensorFlow.
For simplicity, let us consider the Example program.
I use the tflearn as a wrapper as it does all the initialization and other higher lev …
5
votes
2
answers
2k
views
Tensorflow oscillating Test and Train Accuracy?
I have implemented a CNN with images as input and 101 classes as output.
I have applied mean subtraction and normalization to the input before giving it as input to the network.
I have also experiment …