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awesome-deep-learning-materials
Curated materials from Centroida's Deep Learning team
https://github.com/hggeorgiev/awesome-deep-learning-materials
- Andrej Karpathy's YouTube channel - CS 231n Convolutional Neural Networks for Visual Recognition
- Object Detection using Deep Learning for advanced users (Part-1)
- Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
- Building powerful image classification models using very little data
- How HBO’s Silicon Valley built “Not Hotdog” with mobile TensorFlow, Keras & React Native
- CS231n: Convolutional Neural Networks for Visual Recognition
- One weird trick for parallelizing convolutional neural networks
- Colorful Image Colorization
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
- Speed/accuracy trade-offs for modern convolutional object detectors
- Very Deep Convolutional Networks for large-scale image recognition
- Rethinking the Inception Architecture for Computer Vision
- Show, Attend and Tell: Neural Image Caption
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- SSD: Single Shot MultiBox Detector
- Scene Labeling with LSTM Recurrent Neural Networks
- Generation with Visual Attention
- Attentive Recurrent Comparators
- The Unreasonable Effectiveness of Recurrent Neural Networks
- Attention and Memory in Deep Learning and NLP
- On word embeddings - Part 1
- LSTM with word2vec embeddings
- Latent Dirichlet Allocation
- Structured Self-Attentive Sentence Embedding
- Extracting Information from Text - Chapter 7
- NLP from scratch
- Learning to Generate Reviews and Discovering Sentiment
- An Empirical Exploration of Recurrent Network Architectures
- word2vec Parameter Learning Explained
- Skip-Thought Vectors
- Reasoning about Entailment with Neural Attention
- Practical seq2seq
- Attention Entailment with Keras
- Delving deep into Generative Adversarial Networks (GANs)
- Attacking Machine Learning with Adversarial Examples
- Adversarial Examples for Semantic Segmentation and Object Detection
- Efficient Defenses Against Adversarial Attacks
- Practical Black-Box Attacks against Machine Learning
- Tensorflow/Cleverhans
- [UDACITY
- [COURSERA
- Scraping for Craft Beers: A Dataset Creation Tutorial
- 10 misconceptions about Neural Networks
- The Black Magic of Deep Learning - Tips and Tricks for the practitioner
- Productionizing and Deploying Data Science Projects
- Applying deep learning to real-world problems
- Kaggle Ensembling Guide
- Compressing deep neural nets
- 5 Step Life-Cycle for Neural Network Models in Keras
- Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras
- Stateful LSTM in Keras
- Keras plays catch, a single file Reinforcement Learning example
- Building a Music Recommender with Deep Learning
- deeplearning.net research paper reading list
- Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
- WaveNet: A generative model for raw audio
- One-Shot Imitation Learning
- Deep Networks With Large Output Spaces
- Deep metric learning using Triplet network
- Distilling the Knowledge in a Neural Network
- Intriguing properties of neural networks
- How to Parallelize Deep Learning on GPUs Part 1/2: Data Parallelism
- Attention Is All You Need
- A simple neural network module for relational reasoning
- WildML - Artificial Intelligence, Deep Learning, and NLP
- Kaggle Datasets
- 17 Ultimate Data Science Projects To Boost Your Knowledge and Skill
- Essential Cheat Sheets for deep learning and machine learning researchers
- Failures of Deep Learning