DCGAN from scratch pytorch implementation, Fake faces using generative models, Pytorch tutorial

If you are not coding dcgan then watch this video in 1. 5x. This is a PyTorch implementation of DCGAN from scratch. In this video, we build a Deep convolutional generative adversarial network for face generation. DCGAN paper: CelebA dataset: Using PyTorch, you can start developing deep learning projects. Apart from PyTorch, you may use TensorFlow or Keras. you can create a machine learning or deep learning model using google colab if you don t have a GPU system. Google Colab is a free cloud service from Google and now it supports free GPU Google Colab is a Jupyter notebook environment provided by Google where you can use GPUs and TPUs which are suitable for ML, DL. 00:00 Introduction 04:00 Weight Initilization 04:53 Generator 07:35 Discriminator 09:37 Loss Function Optimizers 10:30 Training Model Please do subscribe to our channel: Pytorch tutorial Digit classification, MNIST