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
- ☆2,193Updated last week
- Bare bone examples of machine learning in TensorFlow☆2,417Updated 8 years ago
- Various ipython notebooks☆1,545Updated 7 years ago
- A workshop for scientific computing in Python. ( December 2017 )☆378Updated 7 years ago
- Instructions for setting up the software on your deep learning machine☆1,977Updated 6 years ago
- Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)☆331Updated 5 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,950Updated 8 years ago
- Problem Solving☆898Updated 5 years ago
- The book "Annotated Algorithms in Python" and the nlib.py library☆1,327Updated 2 years ago
- Organized & Useful Resources about Deep Learning with TensorFlow☆21Updated 4 years ago
- TensorFlow tutorials and best practices.☆8,619Updated 4 years ago
- Simple and comprehensive tutorials in TensorFlow☆2,862Updated 8 months ago
- Simple and ready-to-use tutorials for TensorFlow☆4,524Updated 4 years ago
- Learning to Learn in TensorFlow☆4,059Updated 3 years ago
- Deep learning tutorials (2nd ed.)☆1,517Updated 8 years ago
- ☆3,429Updated 4 years ago
- Descriptive Deep Learning☆820Updated last year
- A collection of video resources for machine learning☆1,541Updated 4 years ago
- Learning numerical computing with notebooks for all ages.☆768Updated last year
- A clear, concise, simple yet powerful and efficient API for deep learning.☆2,304Updated 5 years ago
- A-Paper-A-Week☆944Updated 8 months ago
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.☆1,046Updated 6 years ago
- A (non overwhelming) list of Machine Learning resources for beginners☆625Updated 8 years ago
- Neural networks for monitoring cardiac data☆486Updated 4 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,793Updated 4 years ago
- A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.☆786Updated 5 years ago
- Demo of in-browser Fast Neural Style Transfer with deeplearn.js library☆1,355Updated 6 years ago
- Science-based games - a collaborative list☆1,604Updated 8 months ago
- Essential Guide to keep up with AI/ML/DL/CV☆1,048Updated 2 months ago
- Evaluation of Deep Learning Frameworks☆2,046Updated 7 years ago