Deus Ex Machina

Protected: Advanced deep learning with Python and Keras (2) Model monitoring using Keras callbacks and TensorBord

Monitoring of networks in deep learning process using pyton/keras for digital transformation and artificial intelligence tasks (monitoring of models using Keras callbacks and TensorBord)

2021.11.17

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

Creating Logic, Part 2: Expanding Logic Reading Notes

Fundamentals of logic (predicate logic and tableau, PPL, IPL) in mathematical logic utilized for reasoning mechanisms in artificial intelligence tasks.

2021.11.16

Symbolic Logic推論技術:inference Technology数理論理学:Mathematical logic集合論:Set theory

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

Comparison of tensorflow, Keras and pytorch

Comparison of tensorflow, keras, and pytorch, deep learning frameworks used for digital transformation and artificial intelligence tasks

2021.11.14

python機械学習:Machine Learning深層学習:Deep Learning

Protected: Evolving Deep Learning with PyTorch(OpenPose, SSD, AnoGAN, Efficient GAN, DCGAN, Self-Attention GAN, BERT, Transformer, GAN, PSPNet, 3DCNN, ECO)

OpenPose, SSD, AnoGAN, Efficient GAN, DCGAN, Self-Attention GAN, BERT, Transformer, GAN using pytorch for Digital Transformation and Artificial Intelligence tasks, PSPNet,3DCNN,ECO and other advanced DNNs

2021.11.14

python機械学習:Machine Learning深層学習:Deep Learning画像認識技術自然言語処理:Natural Language Processing音声信号認識技術

Protected: Advanced deep learning with Python and Keras (1) Complex networks using the Keras Functional API

Construction of complex network models using Keras functional API with python/keras for digital transformation and artificial intelligence tasks (for multimodal problems, etc.)

2021.11.13

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning画像認識技術自然言語処理:Natural Language Processing

Protected: DNNs for text and sequences with python and Keras (4) Sequence processing with bidirectional RNNs and CNNs

Bidirectional RNN and CNN application to sequence data in python/keras for digital transformation and artificial intelligencetasks.

2021.11.12

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

Protected: DNN for text and sequences with python and Keras (3) Advanced use of recurrent neural networks(GRU)

Analysis of sequence data by GRU with pyhton/keras used for digital transformation and artificial intelligence tasks and improvement by recurrent dropout and recurrent layer stacking

2021.11.11

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

Protected: DNN for text and sequences with Python and Keras (2) Application of SimpleRNN and LSTM

RNN and LSTM for text/sequence information using python/keras for digital transformation and artificial intelligence tasks

2021.11.10

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

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