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

If you are not coding dcgan then watch this video in . 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: ​ Celeb-A 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