README.md

Deep-Learning-Resources

List of resources to learn deep learning

-> DATASET LISTS

• Tiny Datasets for experimenting with Deeplearning Algorithms.
• List of the biggest machine learning datasets from across the web.

0 Python for Starters

• Cheat sheet

1. Machine Learning overview

Learn about basics of Machine Learning:

• Machine learning - Video series
• What is Machine Learning - Comparison with X
• DanB machine learning tutorials
• High level view of ML
• One hot encoding
• Feature Engineering
• Lexical Analysis Terminologies
• Xgboost example 1
• Xgboost example 2
• Google Machine Learning Crash Course
• ML Cheatsheet with various Python examples

2. Deep Learning overview

• History of deep learning - very high level overview
• How to Make Data Amazing
• Super awesome psudo code of all important Deep Learning algorithms
• Terminologies
• What is intuition in Deep Learning?
• Deep Learning tutorials by DanB
• Deep Learning Course by Kaggle
• Backpropogation in Python from scratch
• Saving Keras model and weights
• Getting started with the Keras Sequential model
• Gradient Descent Optimization Algorithms
• Model Loss Functions in Keras

3. Statistics

• Collection of statistic fundamentals
• In-depth statistics

4. Linear Algebra

• Linear Algebra for Deep Learning cheat sheet
• Linear Algebra for Deep Learning cheat sheet 2
• In-depth

5. Calculus

• Backpropagation
• Super detailed Backpropagation

6. Maths

• Introduction to Mathematical Thinking

Convolutional Neural Network

• Friendly guide to CNN
• CNN Cat vs Dog in Keras
• Really good CNN notebook demo + Flask
• Easy to follow CNN digit recogniser tutorial
• Capsule Network
• CNN for beginners
• CNN in detail by Stanford
• CNN cifar10 implementation in TF
• CNN cifar10 implementation in TF 2
• Andrew Ng Youtube series
• CNN Striding
• Dropout
• Keras classification example
• Cat vs Dog classification tutorial
• Cat vs Dog classification Keras
• VGG paper

CNN - superresolution

• Deep learning for image denoising and superresolution
• Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network

Recurrent Neural Network

• LSTM implementation tutorial
• Really good LSTM notebook demo
• RNN tutorial video by Intel

Time Series Analysis

• Overview of TSA
• Hierachical Temporal Memory

Reinforcement Learning

• Landing a SpaceX Falcon Heavy Rocket

Transfer Learning

• Transfer Learning using Keras
• Keras-VGG-Transfer-Learning
• Transfer-Learning-in-keras---custom-data

Generative Adversarial Network

• Maths behind

Chatbots

• How do chatbots work?

Sentiment Analysis

• Predict Sentiment From Movie Reviews Using Deep Learning
• LSTM + Word Embedding IMDB
• A Word2Vec Keras tutorial
• Kears Embedding Visualisation

Inspirational

• Andrew Ng interviews Ian Goodfellow
• Andrew Ng interviews Geoffrey Hinton

Bonus

• Nice ML and DL training
• DanB Kaggle Kernels
• My First Month as a Junior Data-Scientist
• How to read Maths notations

Kaggle competitions

• Titanic: Machine Learning from Disaster

FPGA Reasearch Papers

• A power-efficient and high performance FPGA accelerator for convolutional neural networks: work-in-progress

• Curbing the roofline: a scalable and flexible architecture for CNNs on FPGA

• Design of an Energy-Efficient Accelerator for Training of Convolutional Neural Networks using Frequency-Domain Computation

• CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices

• Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster

• Going Deeper with Embedded FPGA Platform for Convolutional Neural Network

• Automated Systolic Array Architecture Synthesis for High Throughput CNN Inference on FPGAs

• Maximizing CNN Accelerator Efficiency Through Resource Partitioning

• A Holistic Approach for Optimizing DSP Block Utilization of a CNN implementation on FPGA

• Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks

• Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks

• Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs

• Why TanH is a Hardware Friendly Activation Function for CNNs

• F-CNN: An FPGA-based framework for training Convolutional Neural Networks

• A New Implementation of Fully Programmable Complete CNN Processor Core on FPGA

• Implementing a CNN Universal Machine on FPGA: state-of-the-art and key challenges

• Caffeinated FPGAs: FPGA framework For Convolutional Neural Networks

• Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks

• fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs

• A General Neural Network Hardware Architecture on FPGA

• The implementation of a Deep Recurrent Neural Network Language Model on a Xilinx FPGA

• A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks

• FP-BNN: Binarized neural network on FPGA

• An efficient FPGA implementation of a DT-CNN for small image gray-scale pre-processing

• Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks

• PipeCNN- An OpenCL-Based Open-Source FPGA Accelerator for Convolution Neural Networks

Framework

1. Tensorflow

• Installing Tensorflow and Keras on Windows
• Effective TensorFlow for Non-Experts (Google I/O '17)
• TensorFlow 101 (Really Awesome Intro Into TensorFlow)
• Tensorflow Top to Bottom

2. Keras

• Keras-GAN

Research Overview and Papers

• An excellent repo of selected summaries of research paper