balavenkatesh3322 / Deep-learning-Notebook

A collection of deep learning notebooks for learning and practicing.

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Deep Learning Notebooks

BL (2)

Framework

Tensorflow

Notebook Name Description Framework
Basic image classification tutorial This guide trains a neural network model to classify images of clothing, like sneakers and shirts. Tensorflow
Image classification with a CNN tutorial This tutorial shows how to classify images of flowers. Tensorflow
Image captioning tutorial When you run the notebook, it downloads the MS-COCO dataset, preprocesses and caches a subset of images using Inception V3, trains an encoder-decoder model, and generates captions on new images using the trained model. Tensorflow
Audio recognition tutorial This tutorial will show you how to build a basic speech recognition network that recognizes ten different words Tensorflow
RNN tutorial (sentiment analysis / text classification) This text classification tutorial trains a recurrent neural network on the IMDB large movie review dataset for sentiment analysis. Tensorflow
RNN tutorial (text generation with Shakespeare) This tutorial demonstrates how to generate text using a character-based RNN. Tensorflow
Timeseries forecasting tutorial (weather) This tutorial is an introduction to time series forecasting using TensorFlow. It builds a few different styles of models including Convolutional and Recurrent Neural Networks (CNNs and RNNs).. Tensorflow
Transfer learning tutorial In this tutorial, you will learn how to classify images of cats and dogs by using transfer learning from a pre-trained network Tensorflow

PyTorch

Model Name Description Framework
Training a Classifier For this tutorial, we will use the CIFAR10 dataset for image classification. PyTorch
Object Detection finetuning tutorial we will be finetuning a pre-trained Mask R-CNN model in the Penn-Fudan Database for Pedestrian Detection and Segmentation. PyTorch
Transfer Learning for Computer Vision Tutorial you will learn how to train a convolutional neural network for image classification using transfer learning. PyTorch
Adversarial Example Generation This tutorial will raise your awareness to the security vulnerabilities of ML models, and will give insight into the hot topic of adversarial machine learning. PyTorch
DCGAN Tutorial This tutorial will give an introduction to DCGANs through an example. PyTorch
Sequence-to-Sequence Modeling with nn.Transformer and TorchText This is a tutorial on how to train a sequence-to-sequence model. PyTorch
NLP From Scratch: Classifying Names with a Character-Level RNN We will be building and training a basic character-level RNN to classify words. PyTorch
NLP From Scratch: Generating Names with a Character-Level RNN we used a RNN to classify names into their language of origin. PyTorch

Contributions

Your contributions are always welcome!! Please have a look at contributing.md

License

MIT License