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Browsing Category: Tensorflow Keras

Python Tensorflow Keras

Feature Map Visualization Using Tensorflow Keras.

It is a good idea to visualize the feature maps for a specific input image in order to to understand what features of the …

Python Tensorflow Keras

Sentimental Analysis Using Tensorflow Keras.

Recurrent Neural Network (RNN) model has been very useful to processing sequential data. Tensorflow Keras is a great platform to implement RNN as the …

Python Tensorflow Keras

Time Series Forecasting using Tensorflow Keras

Recurrent Neural Network (RNN) model has been very useful to predict time series data.. Training on Tensorflow Keras is a great platform to implement …

Machine Learning Python Tensorflow Keras

Comparing Cross Entropy and KL Divergence Loss

Entropy is the number of bits required to transmit a randomly selected event from a probability distribution. A skewed distribution has a low entropy, whereas …

Machine Learning Python Tensorflow Keras

Comparing Pre-trained ResNet and MobileNet

Resnet and Mobilenet are the popular pre-trained models for computer visions. Renet is more accurate, while Mobilenet is much smaller in size. In this …

Machine Learning Python Tensorflow Keras

Network Compression with Depthwise Separable Convolution

One way to achieve network compression is using depthwise separable convolution. Depthwise separable convolution is used in many pre-trained neural networks such as MobileNet, …