Unreal Obama was made for an MIT class with Deep Learning a subset of Artificial Intelligence. Possibilities are amazing with AI.
Learn Text Classification with TensorFlow & Keras. A baseline NLP model for Text Classification with the help of Embedding and LSTM layers from TensorFlow’s high-level API Keras.
Remove Stop Words. Clean and get only the Text.
Convert the text words to tokens.
Learn how to “dissect” sentences into words aka know as Tokenization, in NLP or Natural Language processing using TensorFlow is the first step before unveiling all power.
Full NLP – Natural Language Processing with TensorFlow
Check the Colab notebook with Python and TensorFlow code
Learn CNN’s. In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery. Or to perform AI deep learning tasks.
Natural Language Processing abbreviated as NLP is a branch of artificial intelligence that deals on robotic’s core: the interaction between human and machines.
Some applications of Natural Language Processing NLP are
- Sentimental Analysis
- Language Translator
- Autocorrect and Autocomplete
- Speech recognition
Components of NLP
- Natural Language Understanding.
- Natural Language Generation
- POS Tags
- Named Entity Recognition
Apple’s powerful CoreML framework makes it super easy for developers to run inference of pre-trained models on their iOS devices. Let’s work hard on creating Keras, TensorFlow, or any other Python based Machine Learning Model.
Train your own object detection models using Core ML and CreateML. Boost all the power of Machine Learning. The future of AI is just rising.