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
数学:Mathematics
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
python 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)
Symbolic Logic 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.
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: 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.)
python 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.
python 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
python 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
python Protected: Deep learning for computer vision with Python and Keras (4) Visualization of CNN training data
Interpreting CNNs with visualization in DNNs using python/keras for digital transformation and artificial intelligence tasks