{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"\"A picture is worth a thousand words\" \nIt's a saying that means complex and multiple ideas can be conveyed effectively by a single image.\n\nComputer Scientist Edsger Dijkstra expanded it as  \"A picture may be worth a thousand words, a formula is worth a thousand pictures.\"\n\nI think ai trained on thousands(even millions) of words and images is equivalent to above formula .These AI models can predict , classify , detect and analise  beating humans in many cases .Due to such prowess, \"AI is worth a thousand thoughts\".\n\nAI  models trained on Images and videos  can do mainly two things \n1) Computer vision: understanding and processing visual information.\n2) Generate : creation of desired visual content.\n \nIn this essay we are going to focus only on Computer Vision as there is a separate category for generative ai. \n\nto be updated ASAP.","metadata":{}}]}