tomepel / Technical_Book_DL
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
☆1,388Updated 5 years ago
Alternatives and similar repositories for Technical_Book_DL:
Users that are interested in Technical_Book_DL are comparing it to the libraries listed below
- ☆2,190Updated last month
- Bare bone examples of machine learning in TensorFlow☆2,416Updated 8 years ago
- Various ipython notebooks☆1,545Updated 7 years ago
- Simple and ready-to-use tutorials for TensorFlow☆4,521Updated 4 years ago
- Problem Solving☆898Updated 5 years ago
- Instructions for setting up the software on your deep learning machine☆1,977Updated 6 years ago
- A workshop for scientific computing in Python. ( December 2017 )☆378Updated 7 years ago
- Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)☆329Updated 5 years ago
- Organized & Useful Resources about Deep Learning with TensorFlow☆21Updated 4 years ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,195Updated 5 years ago
- Science-based games - a collaborative list☆1,605Updated 10 months ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,952Updated 8 years ago
- Learn to crypto workshop☆1,673Updated 3 years ago
- Demo of in-browser Fast Neural Style Transfer with deeplearn.js library☆1,354Updated 6 years ago
- Quantized word vectors that take 8x-16x less space than regular word vectors☆754Updated 5 years ago
- Deep learning tutorials (2nd ed.)☆1,516Updated 8 years ago
- A Python implementation of Douglas Hofstadter formal systems, from his book "Gödel, Escher, Bach"☆622Updated 4 years ago
- A (non overwhelming) list of Machine Learning resources for beginners☆625Updated 8 years ago
- A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.☆786Updated 5 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,451Updated 2 years ago
- Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016☆411Updated 8 years ago
- The book "Annotated Algorithms in Python" and the nlib.py library☆1,327Updated 2 years ago
- TensorFlow tutorials and best practices.☆8,617Updated 4 years ago
- +2600 developer-related blogs and publications.☆636Updated 7 years ago
- A collection of video resources for machine learning☆1,545Updated 4 years ago
- The Berkeley Document Summarizer is a learning-based, single-document summarization system that extracts source document content, exploit…☆743Updated 6 years ago
- A neural network trained to help writing neural network code using autocomplete☆1,155Updated 4 years ago
- A collection of SQL queries to social media datasets.☆1,545Updated 5 years ago
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,451Updated 7 years ago
- Machine Learning on Sequential Data Using a Recurrent Weighted Average☆602Updated 5 years ago