深層学習:Deep Learning

python

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
python

Protected: Introduction to deep learning with Python and Keras (3) Practical application example (2) Multi-class classification of news delivery

DNN implementation of multi-level classification of text information using python's keras for digital transformation and artificial intelligence tasks.
2021.11.01
python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning
python

Protected: Introduction to deep learning with Python and Keras (2) Practical application example (1) Two-class classification of text data

DNN implementation of binary classification of text information using python's keras for digital transformation and artificial intelligence tasks.
2021.10.31
python最適化:Optimization機械学習:Machine Learning深層学習:Deep 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.
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
python

Protected: Mathematical elements in neural networks (2) Stochastic gradient descent method and error back propagation method

Mathematical description of stochastic gradient descent and error back propagation methods for implementing neural networks used in digital transformation and artificial intelligence tasks.
2021.10.29
python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning
python

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
python

Protected: Hello World of Neural Networks, Implementation of Handwriting Recognition with MNIST Data

On the Implementation with python and Keras of HelloWorld and handwriting recognition of neural networks in machine learning using neural nets for digital transformation and artificial intelligence tasks.
2021.10.27
python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning
python

History of AI and Deep Learning

Basic definitions of artificial intelligence, machine learning, and deep learning used in digital transformation and artificial intelligence tasks, and characteristics of deep learning.
2021.10.26
python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning
機械学習:Machine Learning

Protected: Applying Deep Learning to Speech Recognition

Overview of neural network applications (TDNN, RNN, CNN) and deep learning applications (LSTM, CTC) for speech recognition technology used in digital transformation and artificial intelligence tasks
2021.10.07
機械学習:Machine Learning深層学習:Deep Learning音声信号認識技術
推論技術:inference Technology

Protected: Instance recognition and retrieval (1) Instance retrieval using BoVW

Instance recognition and image retrieval technology based on image recognition technology used in digital transformationand artificial intelligence
2021.10.04
推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術
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