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Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition

Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems

TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem

TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python

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Ghost of FYUP

The only B.Tech batch of DU, the so enrolled FYUP (2013-2017) now has another hurdle: the one year research project. The project work is spread in both VII and VIII semesters, and carries in total 300 marks out of total of 1200. Ideally, the students should get time slots in the labs to do their work, and for proper guidance by teacher, it should be also reflected in teacher's workload. Department of Electronics, under good faith, has made specific guidelines to ensure proper running of these projects. The issue is will these guidelines be implemented in totality by the Principals/TICs, who are using different tactics to reduce the workload due to projects, some common being: Give them to guest (Money matters one guest =four periods=Rs 1000 per week). Will a guest be able to do justice is another matter. If a permanent faculty is ready to take projects, then forcing them to increase their workload from prescribed 14/16. This in essence makes permanent faculty shy

Computer History Museum - A visit

As a child, I used to imagine that when I grow up I will work in a bookstore. I will sell books and in spare time read all the books. Whenever I get a chance to visit a big bookstore or Library, I feel as If I have entered heaven, my spine is thrilled with electric spikes. This August, I got a chance to visit San Jose (Was there to attend an international conference ASONAM 2016 in San Francisco). Feeling a bit adventurous I tried Airbnb for the first time and stayed with Venna, a very sweet lady. When we reached, she suggested that since I am into computers I should visit Computer History Museum, I accepted her suggestion and am very happy that I did. The museum kindled the child in me, and once again I was back to childhood (not that I have really grown old), seeing the Babbage difference engine, the PDP-1, the Jacquard loom, I was transcended into a new world. The museum showcased the history of computers bringing them back to life through their gigantic exhibits.

Separate Axis Theorem

Introduction Separate Axis Theorem (SAT) is a method to determine whether two convex shapes are intersecting or not. The theorem states that, “Given two convex shapes there exists a line onto which their projections will be separate if and only if they are not intersecting”. It is the most commonly used method for collision detection. SAT also returns the minimum penetration vector, or minimum translation vector, the shortest distance that the colliding object can be moved in order to no longer be colliding. The basic idea is imagine you have two convex shapes, let us consider two triangles as given in fig 1. We shine light on them from different angles and observe shadows on the wall perpendicular to the direction of light, if doing this work around the shapes we do not find a gap in the shadows, then the objects are colliding. But, if we are able find a gap, then they are not intersecting/colliding. Algorithm: The first question that arises while implementing SAT

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