Learn to build a neural network using PyTorch to predict weather conditions. The course covers downloading weather data, data preprocessing, building a neural network, selecting loss functions and optimizers, utilizing GPU for computations, training the network, saving and loading models, evaluating model performance, and making predictions. The course is designed for individuals interested in deep learning, neural networks, and predictive modeling using Python.
Build a Neural Network with Python Tutorial - Deep Learning with PyTorch
Overview
Syllabus
Download the weather data
Data preprocessing
Build a Neural Network with PyTorch
Choose a loss function & optimizer
Doing computations on the GPU with CUDA
Training your Neural Network
Saving & loading a model with PyTorch
Evaluation How good your model is?
Making predictions Is it going to rain?
Taught by
Venelin Valkov
