Deep learning and Tensorflow2 combat
The Deep Learning Framework-PyTorch Practical Course aims to help students quickly master the use of the core modules of the PyTorch framework and project application examples, so that students can use the PyTorch framework for project development.
The content of the course is all practically oriented, based on the current classic projects in computer vision and natural language processing, to explain the role and effect of each line of code in the project in detail through the Debug mode, the overall style is easy to understand, and all the courseware belonging to the course are provided.
The course consists of 27 chapters and 171 sessions
Chapter 1 tensorflow installation and introduction
Chapter 2 Neural network principle interpretation and overall architecture
Chapter 3 Building neural network for classification and regression tasks
Chapter 4 Convolutional neural network principle and parameter interpretation
Chapter 5 Cat and dog recognition combat
Chapter 6 Image data enhancement examples
Chapter 7 Training Strategy-Migration Learning Practice
Chapter 8 Recursive Neural Network and Word Vector Principle Interpretation
Chapter 9 Implementation of Word2vec Based on TensorFlow
Chapter 10 Text Classification Task Based on RNN Model
Chapter 11 Tfrecord Making Data Source
Chapter 12 Applying CNN Network to Text Classification Practice
Chapter 13 Time Series Prediction
Chapter 14 Natural Language Processing General Framework BERT Principle Interpretation
Chapter 15 Google Open Source Project BERT Source Code Interpretation and Application Examples
Chapter 16 Confrontation Generation Network Practical
Chapter 17 Based on CycleGan Open Source Project Practical Image Synthesis
Chapter 18 Classic Network Architecture Resnet Practical
Chapter 19 Tensorflow Basic Operation
Chapter 20 Tensorflow Convolutional Neural Network Practical
Chapter 21 Convolutional Neural Network Practical Combat: Cat and Dog Recognition
Chapter 22 Recurrent Neural Network Model (RNN)
Chapter 23 Tribute Classic: Alexnet Network Practical
Chapter 24 Tensorboard Visualization Module
Chapter 25 CNN Text Classification Task
Chapter 26 Tensorflow Project Actual Combat-Verification Code Identification
Chapter 27 Resnet Residual Network