本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

本仓库我将使用谷歌TensorFlow2框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较经典的目标检测网络、语义分割网络等。

Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!

A library for scientific machine learning and physics-informed learning

Must-read Papers on Physics-Informed Neural Networks.

physics-informed neural network for elastodynamics problem

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

基于LSTM的时间序列预测研究

Training a convolutional neural network using own picture dataset