Classifying the Name Nationality of a Person using LSTM and Pytorch
Recurrent Neural Networks(RNN) are a type of Neural Network where the output from the previous step is fed as input to the current step. In the case of Convolution Neural Networks (CNN), the output from the softmax layer in the context of image classification is entirely independent of the previous input image.
AI-Powered Digital Asset Management (DAM)—What It Is and How It Works
They say that content is king. However, it’s the kind of king you want to control and use as an asset in...
Recognizing Malaria Cells Using Keras Convolutional Neural Network(CNN)
Artificial Intelligence has vast-ranging attention and its utilization in the healthcare business or industry. As an intense learner and a Kaggle beginner,...
Data Visualization Tips and Techniques
Research conducted by the University of Arizona has shown that using visual aids increases the persuasiveness of content by 43%. Correctly visualizing...
François Chollet, creator of Keras on TensorFlow 2.0 and Keras integration, tricky design decisions...
TensorFlow 2.0 was made available last month. One of the major highlights of this release was the integration of Keras into TensorFlow....
Create a Neural Network With PyTorch
PyTorch is an Artificial Intelligence library that has been created by Facebook's artificial intelligence research group . The source code is accessible...
How Machine Learning Is Changing Video Compression
Artificial intelligence is bringing new solutions for nearly every industry. Now, AI innovators are setting out to solve video compression issues.
Classify Handwritten-Digits With Tensorflow
One of the capabilities of deep learning is image recognition, The “hello world” of object recognition for machine learning and deep learning...
AI: From Fantasy To Reality
We’re always waiting for the next opportunity to feel like a kid again, and artificial intelligence has given us the best excuse...
Deep Learning with Keras – Part 7: Recurrent Neural Networks
Intro
In this part of the series, we will introduce Recurrent Neural Networks aka RNNs that made a major...