tomepel / Technical_Book_DLLinks
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
Sorting:
- ☆2,187Updated 3 months ago
- Bare bone examples of machine learning in TensorFlow☆2,417Updated 8 years ago
- Various ipython notebooks☆1,548Updated 7 years ago
- A workshop for scientific computing in Python. ( December 2017 )☆377Updated 7 years ago
- Problem Solving☆896Updated 6 years ago
- Organized & Useful Resources about Deep Learning with TensorFlow☆21Updated 5 years ago
- A (non overwhelming) list of Machine Learning resources for beginners☆624Updated 8 years ago
- Simple and ready-to-use tutorials for TensorFlow☆4,515Updated 4 years ago
- The book "Annotated Algorithms in Python" and the nlib.py library☆1,332Updated 2 years ago
- Instructions for setting up the software on your deep learning machine☆1,974Updated 6 years ago
- A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.☆786Updated 5 years ago
- Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)☆329Updated 5 years ago
- Learning numerical computing with notebooks for all ages.☆770Updated last year
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,954Updated 8 years ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,192Updated 5 years ago
- Neural networks for monitoring cardiac data☆488Updated 5 years ago
- Simple and comprehensive tutorials in TensorFlow☆2,862Updated last year
- A short guide on features of Python 3 with examples☆3,608Updated 4 years ago
- Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.☆933Updated 2 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,449Updated 2 years ago
- Descriptive Deep Learning☆823Updated last year
- Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016☆410Updated 8 years ago
- Quantized word vectors that take 8x-16x less space than regular word vectors☆752Updated 5 years ago
- Learn to crypto workshop☆1,670Updated 3 years ago
- A Python implementation of Douglas Hofstadter formal systems, from his book "Gödel, Escher, Bach"☆623Updated 4 years ago
- Computer Science Cheatsheets.☆1,602Updated 4 years ago
- Science-based games - a collaborative list☆1,615Updated last year
- A clear, concise, simple yet powerful and efficient API for deep learning.☆2,304Updated 6 years ago
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,452Updated 7 years ago
- 📚 A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/☆215Updated 4 years ago