How to: Deep Learning:
- [Using Convolutional Neural Nets to Detect Facial Keypoints](http://danielnouri.org/notes/2014/12/17/using-convolutional-neural-nets-to-detect-facial-keypoints-tutorial/)
- [Generate an Average Face using Python and OpenCV](https://www.learnopencv.com/average-face-opencv-c-python-tutorial/)
- [Break A Captcha System using CNNs](https://medium.com/@ageitgey/how-to-break-a-captcha-system-in-15-minutes-with-machine-learning-dbebb035a710)
- [Use pre-trained Inception model to provide image predictions](https://medium.com/google-cloud/keras-inception-v3-on-google-compute-engine-a54918b0058)
- [Create your first CNN](https://hackernoon.com/deep-learning-cnns-in-tensorflow-with-gpus-cba6efe0acc2)
- [Build A Facial Recognition Pipeline](https://hackernoon.com/building-a-facial-recognition-pipeline-with-deep-learning-in-tensorflow-66e7645015b8)
- [Build An Image Caption Generator](https://medium.freecodecamp.org/building-an-image-caption-generator-with-deep-learning-in-tensorflow-a142722e9b1f)
- [Make your Own Face Recognition System](https://medium.freecodecamp.org/making-your-own-face-recognition-system-29a8e728107c)
- [Train a Language Detection AI in 20 minutes](https://towardsdatascience.com/how-i-trained-a-language-detection-ai-in-20-minutes-with-a-97-accuracy-fdeca0fb7724)
- [Object Detection With Neural Networks](https://towardsdatascience.com/object-detection-with-neural-networks-a4e2c46b4491)
- Learn Twitter Sentiment Analysis -
  - [Part I - Data Cleaning](https://towardsdatascience.com/another-twitter-sentiment-analysis-bb5b01ebad90)
  - [Part II - EDA, Data Visualisation](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-2-333514854913)
  - [Part III - Zipf's Law, Data Visualisation](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-3-zipfs-law-data-visualisation-fc9eadda71e7)
  - [Part IV - Feature Extraction(count vectoriser)](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-4-count-vectorizer-b3f4944e51b5)
  - [Part V - Feature Extraction(Tfidf vectoriser)](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-5-50b4e87d9bdd)
  - [Part VI - Doc2Vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-6-doc2vec-603f11832504)
  - [Part VII - Phrase Modeling + Doc2Vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-7-phrase-modeling-doc2vec-592a8a996867)
  - [Part VIII - Dimensionality Reduction](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-8-dimensionality-reduction-chi2-pca-c6d06fb3fcf3)
  - [Part IX - Neural Nets with Tfdif vectors](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-9-neural-networks-with-tfidf-vectors-using-d0b4af6be6d7)
  - [Part X - Neural Nets with word2vec/doc2vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-10-neural-network-with-a6441269aa3c)
  - [Part XI - CNN with Word2Vec](https://towardsdatascience.com/another-twitter-sentiment-analysis-with-python-part-11-cnn-word2vec-41f5e28eda74)
- [Use Transfer Learning for custom image classification](https://becominghuman.ai/transfer-learning-retraining-inception-v3-for-custom-image-classification-2820f653c557)
- [Learn to Code a simple Neural Network in 11 lines of Python](https://iamtrask.github.io/2015/07/12/basic-python-network/)
- [Build a Neural Network using Gradient Descent Approach](https://iamtrask.github.io/2015/07/27/python-network-part2/)
- [Train a Keras Model To Generate Colors](https://heartbeat.fritz.ai/how-to-train-a-keras-model-to-generate-colors-3bc79e54971b)
- [Get Started with Keras on a Custom Dataset](https://www.pyimagesearch.com/2018/09/10/keras-tutorial-how-to-get-started-with-keras-deep-learning-and-python/)
- [Use EigenFaces and FisherFaces on Faces94 dataset](https://nicholastsmith.wordpress.com/2016/02/18/eigenfaces-versus-fisherfaces-on-the-faces94-database-with-scikit-learn/)
- [Kaggle MNIST Digit Recognizer Tutorial](https://medium.com/@lvarruda/how-to-get-top-2-position-on-kaggles-mnist-digit-recognizer-48185d80a2d4)
- [Fashion MNIST tutorial with tf.keras](https://medium.com/tensorflow/hello-deep-learning-fashion-mnist-with-keras-50fcff8cd74a)
- [CNN using Keras to automatically classify root health](https://www.pyimagesearch.com/2018/10/15/deep-learning-hydroponics-and-medical-marijuana/)
- [Keras vs Tensorflow](https://www.pyimagesearch.com/2018/10/08/keras-vs-tensorflow-which-one-is-better-and-which-one-should-i-learn/)
- [Deep Learning and Medical Image Analysis for Malaria Detection](https://www.pyimagesearch.com/2018/12/03/deep-learning-and-medical-image-analysis-with-keras/)
- [Transfer Learning for Image Classification using Keras](https://towardsdatascience.com/transfer-learning-for-image-classification-using-keras-c47ccf09c8c8)
- [Code a Smile Classifier using CNNS in Python](https://git