Deep learning:

• Deep learning (This website is intended to host a variety of resources and pointers to information about Deep Learning. Deep learning tutorial by using theano can be found in the website)
• Distributed (Deep) Machine Learning Community (A Community of Awesome Distributed Machine Learning Projects)
• Deep learning book by Ian Goodfellow and Yoshua Bengio and Aaron Courville (The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.Exercises and lectures can also be found in the website )
• Tensor Flow (TensorFlow™ is an open source software library for numerical computation using data flow graphs )
• Caffe (Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors.)

Computer vision:

• Image Net (image database organized according to the WordNet hierarchy)
• Face recognition (Face Recognition Homepage / Relevant information in the the area of face recognition / Information pool for the face recognition community )
• IEEE Xplore ( provides provides full-text access to IEEE transactions, journals, magazines and conference proceedings published since 1988 and all current IEEE Standards.)

Journal and conference:

• NIPS (image database organized according to the WordNet hierarchy)
• KDD (SIGKDD: The community for data mining, data science and analytics)
• ICML ( International conference on machine learning )

Journal and conference:

• NIPS (image database organized according to the WordNet hierarchy)
• KDD (SIGKDD: The community for data mining, data science and analytics)
• ICML ( International conference on machine learning )