habibmrad Goto Github PK

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-assignment

吴恩达-深度学习-课后作业-答案与总结

deeplearning-digital-pathology

Full package for applying deep learning to virtual slides.

deeplearning-for-medical-imaging

Deep Learning for medical imaging

deeplearning-genomics

deeplearning-mindmap

A mindmap summarising Deep Learning concepts.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai

deeplearning.ai , By Andrew Ng, All video link

deeplearning.ai-1

Some work of Andrew Ng's course on Coursera

deeplearning.ai-2

Materials from deeplearning.ai course on Coursera

deeplearning.ai-3

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI. Created by: Deeplearning.AI

deeplearning.ai-coursera

This repository contains programming assignments and research paper refrenced in the deeplearning.ai specialization by Andrew-Ng on Coursera.

deeplearning.ai-notes

These are my personal notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearning.ai_notes

:notebook: Notes for Andrew Ng's courses on deep learning

deeplearningexamples

Deep Learning Examples

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

deeplearninginhealthcare

Objective of this project is to compare different machine learning models and deep learning neural networks. It also focusses on hyperparameter tuning and performance of deep learning neural network over machine learning. Dataset Used: Diabetes prediction

deeplearninglifescience

this is a repository for the deep learning for life science applying deep learning to genomics, microscopy, drug discovery and more

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

deeplearninng-lesson1

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepmod

DeepMod: a deep-learning tool for genomic-scale, strand-sensitive and single-nucleotide based detection of DNA modifications

deepnano-genomesequencing

Improving Base Calling Accuracy with MinION Flow Cell

deeppath

Classification of Lung cancer slide images using deep-learning

deepschool.io

Deep Learning tutorials in jupyter notebooks.