LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Ready to learn or review your knowledge! You will learn 10 skills as data scientist: Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
