ML ANNs	Activity 1	Activity 2	Activity 3
Week 1	Binary and hexadecimal Boolean Basic(what is Boolean) The McCulloch-Pitts Neuron Boolean Basic( ! Karnaugh map ) Math for MP Neuron And Data set's features	McCulloch-Pitts Neuron Toy bird McCulloch-Pitts Neuron Toy(not so good) MP Neuron(linear)->lego game MP Neuron(xor xnor)->lego game MP Neuron(3 inputs)->lego game MP Neuron(half/full adder)->lego game	computeCardv10 computeCardv11 computeCardv12 computeCardv13
Week 2	math base for perceptron derivative lecture 1 derivative lecture 2 derivative lecture 3 derivative lecture 4 derivative lecture 6	perspective drawing steps perspective drawing print contour in ML contour in Geo Yanghui triangle Pythagorean Triple	computeCardv14 computeCardv15 computeCardv16 jisuantika17 jisuantika18 jisuantika19
Week 3	what is perceptron(PLA) Good Example for manual PLA(Y=1,-1) PLA Toy(orig) PLA Toy	PLA original manual 1.case: 1 feature case-->pos (3), neg (1). draw cubic plane and contours for Loss Function manual modify weights 2.case: 2 features cases in [Good Example] manual modify weights PLA dual manual case: 2 features cases in [Good Example] manual modify weights	jisuantika graph sheets: Unit Circle cubic 3Dplane Grid Coordinate System cubic 3Dplane BIG Grid Coordinate BIG ---------------------- jisuantika20 jisuantika21 jisuantika22
Week 4	math base for bp - ANN Trigonometric Funs Trigonometric Funs(online) Trigonometric Funs Name	exp\log function, inverse function,growth mode e story 1 e story 2 Circle Function	jisuantikareview1.318 jisuantikareview1.320
Week 5	not open	not open	not open

derivative-calculator
integral-calculator

深度学习进化编年大事记（1943-2016）
精通TensorFlow_读书频道
ANN course (slow)
stanford ANN course

ESSAY mcculloch_a-logical-calculus
ESSAY Rosenblatt1958Perceptron