python Protected: Generative Deep Learning with Python and Keras (1) Text generation using LSTM
Text-generating DNN using LSTM with python/keras for digital transformation and artificial intelligence tasks
微分積分:Calculus
python python Protected: Advanced deep learning with Python and Keras (3) Model optimization methods
Optimizing networks for deep learning with python/keras for digital transformation and artificial intelligence tasks
微分積分:Calculus This is a good introduction to deep learning (Machine Learning Startup Series)Reading Notes
Overview of deep learning for digital transformation and artificial intelligence tasks, including machine learning, gradient descent, regularization, error back propagation, self-encoders, convolutional neural networks, recurrent neural networks, Boltzmann machines, and reinforcement learning.
python Protected: Introduction to deep learning with Python and Keras (1) Overview of how to use Keras
Overview of Keras, a Python platform for implementing deep learning for digital transformation and artificial intelligence task utilization.
python Introduction to Optimization Problems Combining Cone Optimization, Integer Optimization, and Network Models Problem Solving with Python Series
Overview of optimization techniques in machine learning using python for digital transformation (DX) and artificial intelligence (AI) tasks.
ベイズ推定 Probabilistic approaches in machine learning
Probabilistic Generative Models Used in Digital Transformation (DX), Artificial Intelligence (AI), and Machine Learning (ML)
微分積分:Calculus Protected: Submodular Optimization and Machine Learning – Overview
Overview of inferior modular optimization, which is machine learning for discrete variables used in sensor placement optimization.
微分積分:Calculus Word2Vec
An overview of Wprd2Vec, an application of deep learning models to natural language processing.
幾何学:Geometry Fundamentals of Computer Mathematics
Overview of computer mathematics as a basis for artificial intelligence and machine learning techniques, functions, sets, probability, simultaneous equations, differentiation, and integration.