More than any other influence, it’s the iconic, beautiful character designs of Haruhiko Mikimoto (and his spiritual sensei-Leiji Matsumoto) that Danconia relied on as a jumping-off point in creating his Macross-homage-collage, embodying the still prevalent Showa-era (ninkyo) and European aesthetic sensibility of post-war Japan. Dick and Paul Laffoley (from the other side)!Ībove: The original trailer for Macross: Love Do You Remember? (1984) Get ready true believers for the ultimate cyberpunk sequel to Macross, Robotech, Escape from New York and so much more…this summer from John Carpenter, Sean Danconia, Shoji Kawamori and Super Pulp Publishing comes the world’s first 4D animated feature- ESCAPE FROM MACROSS 23!-based on a brief conversation between Philip K.
Most disturbing are recurring dreams of several different men-a former “Black Light” Special Forces Army Lieutenant named “ Snake”, a UFO enthusiast from Tennessee named Dean, a man named Jack obsessed with rockets along with several iterations of himself-all of which are clues to a Mega Enigma unfolding around him…and then there is the Woman with scarlet hair…and Minmei’s face.Īs he searches for clues to his lucid dream, Hikaru discovers that all is not as it seems in Macross…as indeed, the city is actually a ship (based on alien tech) which was once known as the MEGAROAD-01, lost somewhere in space, powered by a strange Japanese puzzle box lodged at its center, which only Minmei can interface with… His mind is a jumble of upside down memories-and not just his own. But something isn’t right and he knows it. Based on the training data, the SVM separates the "space" of all possible fish into two parts, which correspond to the classes we are trying to learn (such as "blue" or "not blue").Some plot points from Danconia’s storyline:įollowing the events of Macross: Love Do You Remember, Megazone 23, ORGUSS and Flashback 2012, Hikaru Ichijyo wakes to find himself back on earth, retired and married to the stunning Lynn Minmei-living in a penthouse condo overlooking the glorious Macross City. We look at each component of the fish (such as eyes, mouth, body) and assemble all of the metadata for the components (such as number of teeth, body shape) into a vector of numbers for each fish. Levels 6-8 use a Support-Vector Machine (SVM). We classify the new image with the same label (such as "fish" or "not fish") as the images from the training set with the most similar results. Then, for a new image, we feed it to MobileNet and compare its resulting list of annotations to those from the training dataset. Each image in the training dataset is fed to MobileNet, as pixels, to obtain a list of annotations that are most likely to apply to it. In order to customize this model with the labeled training data the student generates in this activity, we use a technique called Transfer Learning. A MobileNet model is a convolutional neural network that has been trained on ImageNet, a dataset of over 14 million images hand-annotated with words such as "balloon" or "strawberry".
#CODE DE ROBOTEK SERIES#
Train a machine learning model with text, numbers, or images, and use it to make games in Scratch.Ī new alternate curriculum unit for the Exploring Computer Science (ECS) curriculum.Ī series of free online courses created by Reaktor and the University of Helsinki.Īn AI education platform for building games, programming robots and training.ĪI for Oceans: Behind the Scenes Levels 2-4 use a pretrained model provided by the TensorFlow MobileNet project. Help protect the endangered Cape Mountain Zebra by identifying the different animals in the images.Īccess free resources including a lesson plan, videos, computer science curriculum, and teacher trainings. Start exploring machine learning through pictures, drawings, language, music, and more.
Train a computer to recognize your own images, sounds, and poses. A free app that narrates the world around you in a variety of languages.Ĭan a neural network learn to recognize doodling?
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