Deep Learning

Protected: Advanced online learning (3) Application to deep learning (mini-batch stochastic gradient descent, momentum method, accelerated gradient method)

Improving computational efficiency by applying mini-batch stochastic gradient descent, momentum, and accelerated gradient methods to deep learning for digital transformation , artificial intelligence , and machine learning tasks.

2022.01.12

オンライン学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics

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

2021.11.18

python微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning

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.

2021.11.15

微分積分:Calculus数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: DNN for text and sequences with Python and Keras (1) Preprocessing text data for training

Deep learning of natural language (DNN) with python/keras for digital transformation and artificial intelligence tasks, distributed vector generation (using Glove model)

2021.11.09

python機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Protected: Deep learning for computer vision with Python and Keras (3) Improving CNNs using trained models

Existing models (ImageNet) using pyhton/keras for digital transformation and artificial intelligence AItasks (few data deep learning (DNN) in use)

2021.11.07

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Deep Learning for Computer Vision with Python and Keras(1) – Convolution and Pooling

Overview of convolution and pooling in pyhton/keras/CNN for image recognition using deep learning for digital transformation and artificial intelligence tasks.

2021.11.05

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Deep learning with Python and Keras – a methodology for deep learning

Optimization methods in deep learning using python/keras for digital transformation and artificial intelligence tasks.

2021.11.04

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning

Protected: Introduction to deep learning with Python and Keras (4) Practical application example (3) Regression for predicting house prices

Continuous value and minority data learning (k-split cross-validation) using deep learning with python/Keras for digital transformation and artificial intelligence.

2021.11.02

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning

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.

2021.10.30

python微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning

Protected: Mathematical Elements in Neural Networks(1) – Manipulating Tensors with numpy, etc.

Mathematical aspects of tensor manipulation using Numpy and others as a basis for performing deep learning used in digital transformation and artificial intelligence tasks.

2021.10.28

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning