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Deep Learning And Neural Networks


If you've been following developments over the last few years, you may have noticed that deep learning and neural networks have grown wildly. Neural network architecture is able to make predictive judgments in in sports, medicine and the financial sector.

Building Convolutional Neural Networks with Tensorflow


In the past year I have also worked with Deep Learning techniques, and I would like to share with you how to make and train a Convolutional Neural Network from scratch, using tensorflow. Later on we can use this knowledge as a building block to make interesting Deep Learning applications. The pictures here are from the full article. Source code is also provided. Before you continue, make sure you understand how a convolutional neural network works.

Neural Networks, Step 1: Where to Begin with Neural Nets & Deep Learning


This is a short supplementary post for beginners learning neural networks. It does not intend to provide a complete learning roadmap, but the contents included should give a short introduction to several essential neural networks concepts.

Neural Network and Deep Learning For Beginners


Neural networks and Deep Learning, the words when witnessed, fascinate the viewers, both complement each other as they fall under the umbrella of Artificial Intelligence. This article is concentred on the discussion of above-mentioned trending and thriving technologies. You will gain some basic knowledge for commencing your learning about Neural networks and Deep Learning. It'll be also very helpful if you are looking to make the career in the field of Artificial Intelligence and Machine Learning. Basically, A Neural Network is a chain or series of algorithms that aims to recognize the relationships in a set of known data provided to us through a process that mimics the way human brain operates and analyze.