tSNE basic usage demo：
Visualization01_tSNEandPCA.py
Visualization02_tSNE.py
Visualization01_tSNE.py
Using tSNE to visualize the last hidden-layer of CNN model @MNIST，CIFAR10 dataset:
CNN_Visualization_Using_tSNE_MNIST.py
CNN_Visualization_Using_tSNE_CIFAR10.py
Credit:
https://becominghuman.ai/visualizing-representations-bd9b62447e38, cite:
In order to obtain the hidden-layer representation, we will first truncate the model at the LSTM layer. Thereafter, we will load the model with the weights that the model has learnt. A better way to do this is create a new model with the same steps (until the layer you want) and load the weights from the model. Layers in Keras models are iterable.