leninworld + deeplearning   32

Understanding LSTM Networks -- colah's blog
Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again. Your thoughts have persistence.
Archive  deeplearning  machine  learning 
july 2018 by leninworld
GitHub - intel-analytics/BigDL: BigDL: Distributed Deep Learning Library for Apache Spark
BigDL: Distributed Deep Learning on Apache Spark What is BigDL? BigDL is a distributed deep learning library for Apache Spark; with BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Spark or Hadoop clusters.
Archive  alternativetogpu  bigdl  deeplearning 
june 2018 by leninworld
Interactive Deep Learning in Cloud via MMLSpark - Databricks
In this presentation, we demonstrate an interactive environment in Azure for fast experimentation of deep learning models to be trained with real world datasets.
Archive  deeplearning  talk 
june 2018 by leninworld
Conversational Artificial Intelligence - Databricks
Communicating information to each other is at the heart of the human experience. Data, and the analysis of it, often drives this communication in a business setting.
Archive  chatbot  deeplearning  talk 
june 2018 by leninworld
Understanding Stateful LSTM Recurrent Neural Networks in Python with Keras
It is widely used because the architecture overcomes the vanishing and exposing gradient problem that plagues all recurrent neural networks, allowing very large and very deep networks to be created.
Archive  deeplearning  lstm 
june 2018 by leninworld
Instructor Bio - Veljko Krunic | Slack
Veljko Krunic data scientist and software architect. He believes that data, when properly analyzed and reacted to, has the potential to transform the world.
Archive  author  deeplearning 
june 2018 by leninworld
neural network - When to use GRU over LSTM? - Data Science Stack Exchange
This answer actually lies on the dataset and the use case. It's hard to tell definitively which is better.
Archive  deeplearning  gru  lstm 
june 2018 by leninworld
deep learning - What do you mean by 1D, 2D and 3D Convolutions in CNN? - Stack Overflow
Can anyone please clearly explain the difference between 1D, 2D and 3D convolutions in CNN (Deep learning) with examples? In a nutshell, convolutional direction & output shape is important!
Archive  1d  2d  3d  convolutions  deeplearning 
june 2018 by leninworld
302 Found
An end-to-end example of how to build a system that can search objects semantically. By Hamel Husain & Ho-Hsiang Wu The power of modern search engines is undeniable: you can summon knowledge from the internet at a moment’s notice. Unfortunately, this superpower isn’t omnipresent.
Archive  deeplearning  search 
june 2018 by leninworld
302 Found
Ever wonder why most chatbots lack conversational context? How is this possible given the importance of context in nearly all conversations?
Archive  chatbot  code  deeplearning  TensorFlow 
may 2018 by leninworld
GitHub - pender/chatbot-rnn: A toy chatbot powered by deep learning and trained on data from Reddit
Here is a sample chat transcript (not cherry-picked). Lines that start with ">" are me; the lines without ">" are the chatbot's responses. Clone this project to your computer.
Archive  code  deeplearning  github  predefinedmodel 
may 2018 by leninworld
Download Documentation
Archive  deeplearning  ml  spark 
may 2018 by leninworld
302 Found
Tensorflow.js is a new deep learning library that runs right in your browser. Being a machine learning and Javascript enthusiast, I immediately started working on an object detection library using Tensorflow.js after it was released.
Archive  browser  deeplearning  ml 
may 2018 by leninworld
Caffe | Deep Learning Framework
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.
Archive  caffe  deeplearning 
may 2018 by leninworld
TensorFlow — Databricks Documentation
TensorFlow [1] is an open-source framework for Machine Learning intelligence created by Google. It supports deep-learning and general numerical computations on CPUs, GPUs and clusters of GPUs. It is subject to the terms and conditions of the Apache 2.0 License.
Archive  deeplearning 
may 2018 by leninworld
How to Evaluate the Skill of Deep Learning Models
I often see practitioners expressing confusion about how to evaluate a deep learning model.
Archive  deeplearning  evaluation 
may 2018 by leninworld
Keras Documentation
You have just found Keras. Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation.
Archive  deeplearning  framework  keras 
may 2018 by leninworld
302 Found
The deep learning landscape is constantly changing. Theano was the first widely adopted deep learning framework, created and maintained by MILA— headed by Yoshua Bengio, one of the pioneers of deep learning. However, things have changed.
Archive  deeplearning  framework 
may 2018 by leninworld
Welcome to PyTorch Tutorials — PyTorch Tutorials 0.4.0 documentation
To get started with learning PyTorch, start with our Beginner Tutorials. The 60-minute blitz is the most common starting point, and gives you a quick introduction to PyTorch. If you like learning by examples, you will like the tutorial Learning PyTorch with Examples
Archive  deeplearning  pytorch  tutorial 
may 2018 by leninworld
302 Found
The essence of machine learning is recognizing patterns within data. This boils down to 3 things: data, software and math. What can be done in seven lines of code you ask? A lot.
Archive  code  deeplearning 
may 2018 by leninworld
GitHub - fendouai/Awesome-Chatbot: Awesome Chatbot Projects,Corpus,Papers,Tutorials.
GitHub is home to over 20 million developers working together to host and review code, manage projects, and build software together.
Archive  chatbot  code  deeplearning  github 
may 2018 by leninworld
GitHub - gunthercox/ChatterBot: ChatterBot is a machine learning, conversational dialog engine for creating chat bots
ChatterBot is a machine-learning based conversational dialog engine build in Python which makes it possible to generate responses based on collections of known conversations. The language independent design of ChatterBot allows it to be trained to speak any language.
Archive  code  deeplearning  github  sourcecode 
may 2018 by leninworld
spaCy · Industrial-strength Natural Language Processing in Python
Industrial-Strength Natural Language Processing in Python Latest release: v1.6New! The new deep learning formula for state-of-the-art NLP models lightning_tour.py # Install: pip install spacy && python -m spacy.en.
Archive  deeplearning  nlp 
may 2018 by leninworld
AI CHAT BOT FOR LONELY PEOPLE (open-domain) INTRODUCTION - Conversational Agents are used nowadays, for various purposes using deep learning algorithm which makes chat but very special.
Archive  chatbot  closeddomain  deeplearning  opendomain 
may 2018 by leninworld
GitHub - macournoyer/neuralconvo: Neural conversational model in Torch
This is an attempt at implementing Sequence to Sequence Learning with Neural Networks (seq2seq) and reproducing the results in A Neural Conversational Model (aka the Google chatbot). Human: What is the purpose of living? Machine: To live forever.
Archive  chatbot  deeplearning 
may 2018 by leninworld
How I Used Deep Learning To Train A Chatbot To Talk Like Me &#40&#83orta&#41 – Adit Deshpande – CS Undergrad at UCLA ('19)
Chatbots are “computer programs which conduct conversation through auditory or textual methods”. Apple’s Siri, Microsoft’s Cortana, Google Assistant, and Amazon’s Alexa are four of the most popular conversational agents today.
Archive  chatbot  deeplearning 
may 2018 by leninworld
Deep Learning for Chatbots, Part 1 – Introduction – WildML
Chatbots, also called Conversational Agents or Dialog Systems, are a hot topic. Microsoft is making big bets on chatbots, and so are companies like Facebook (M), Apple (Siri), Google, WeChat, and Slack.
Archive  chatbot  deeplearning 
may 2018 by leninworld
Deep Learning Tutorials — DeepLearning 0.1 documentation
Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence.
Archive  deeplearning  ml 
may 2018 by leninworld
Deep Learning | Coursera
This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow.
Archive  courseera  deeplearning 
may 2018 by leninworld
Designing Efficient Deep Learning Systems | Programs for Professionals | MIT Professional Education
is an Associate Professor at MIT in the Electrical Engineering and Computer Science Department. Her research interests include energy-aware signal processing algorithms, and low-power circuit and system design for deep learning, computer vision, autonomous navigation and image/video processing.
Archive  deeplearning  mit  shortcourse 
may 2018 by leninworld

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