- CS50 Harvard Python lecture
- Python API tutorial - An Introduction to using APIs
- Open Sourcing a Python Project the Right Way
- Python tutorial: JSON.DUMP(S) & JSON.LOAD(S)
- Use of
'__main__'.py - Read set of images into 4D Numpy array with dimension (num_img,channel, dim1, dim2
- How to get list of values in ImageDataGenerator.flow_from_directory Keras?
- tqdm - progress bar
- Travis CI
- Packaging and Distributing Projects
- Keras documentation
- Keras resources
- R Interface to Keras
- Valerio Maggio - Ten Steps to Keras
- How to pass callbacks to scikit_learn wrappers (e.g. KerasClassifier)
- 5 Step Life-Cycle for Neural Network Models in Keras
- Display Deep Learning Model Training History in Keras
- Building powerful image classification models using very little data
- keras-fractalnet/src/cifar10_fractal.py
- Keras Tutorial: The Ultimate Beginner's Guide to Deep Learning in Python
- Using Keras, how can I input an X_train of images (more than a thousand images)?\
- A toy convolutional neural network for image classification with Keras
- How to Deploy Keras Models to Production - Siraj Raval
- Collection of Keras models used for classification
- 10 misconceptions about Neural Networks.
- Deep learning for complete beginners: neural network fine-tuning techniques
- "Convolutional neural networks (CNN) tutorial"
- Introduction to Convolutional Neural Networks
- how to use fit_generator with multiple image inputs
- Plot hidden layers in Keras
- Quiver | Interactive deep convolutional networks features visualization.
-
How to Grid Search Hyperparameters for Deep Learning Models in Python With Keras
-
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
- A Beginner's Guide To Understanding Convolutional Neural Networks
- Convolutional Neural Network CNN with TensorFlow tutorial
- Deep learning – Convolutional neural networks and feature extraction with Python
- LeNet tutorial
- An Intuitive Explanation of Convolutional Neural Networks
- Object Recognition with Convolutional Neural Networks in the Keras Deep Learning Library
- Understanding CNN's
- Convolutional Neural Networks - The Math of Intelligence (Week 4) - Sirarj Raval
- Code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
- Stanford University CS231 - Youtube playlist
- Stanford University CS231 - Github
- Stanford University CS231 - Google Cloud tutorial
- Neural Networks Demystified
- Ritchie Ng - Exploring notMNIST with TensorFlow
- Introduction to Deep Neural Networks
- Deep learning convolutional neural network by tensorflow python, complete and easy understanding.
- MetaQNN
- Conv Nets: A Modular Perspective
- Understanding Convolutions
- Neural Network Architecture Design
- Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
- 37 Reasons why your Neural Network is not working
- Image classification with Keras and deep learning
- Hinton's Dropout in 3 Lines of Python
- Train/Test Split and Cross Validation in Python
- Ritchie Ng - Cross-Validation
- Best Practices when training with PPO
- We Need to Go Deeper: A Practical Guide to Tensorflow and Inception
- What is a CapsNet or Capsule Network?
- How to choose the number of hidden layers and nodes in a feedforward neural network?
- Batch Normalization -- What the hey?
- A Friendly Introduction to Cross-Entropy Loss
- Visualization - Using the UI to Tune Your Network
- Visualizing Outputs of each layer of a CNN Model during Training Phase
- Visualizing Representations: Deep Learning and Human Beings
- Feature Visualization | How neural networks build up their understanding of images
- Welcome to Kaggle Datasets | The best place to discover and seamlessly analyze open data
- 850k Images in 24 hours: Automating Deep Learning Dataset Creation
- Step by Step, A Tutorial on How to Feed Your Own Image Data to Tensorflow
- Datavec - ETL Library for Machine Learning - data pipelines, data munging and wrangling
- The column-store pioneer | MonetDB
- imager: an R package for image processing
- Getting started with imager
- What are the Different Methods we can use to Reshape an Image
- PythonMagick is the Python binding of the ImageMagick library.
- Machine Learning for Humans
- Book on deep learning
- Neural Network Papers
- Awesome Deep Learning papers
- Awesome - Most Cited Deep Learning Papers
- A curated list of awesome Deep Learning tutorials, projects and communities.
- Neural Network Design
- MXnet Documentation
- data-science-ipython-notebooks/deep-learning/
- A Neural Network Playground - Tinker With a Neural Network Right Here in Your Browser.
- A fantastic tool to generate requirements file for your Python project, and more than that.
- KAGGLE_DISTRACTED_DRIVER
- Ranking Popular Deep Learning Libraries for Data Science
- Python implementation of a photo mosaic software
- Tumblr on funny loss functions
- Deep Learning Glossary
- Behind the Magic: How we built the ARKit Sudoku Solver