Deep Learning Zero To All
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[TensorFlow] Lec-03 Liner Regression and How to minimize cost
[TensorFlow] Lab-07-3-2 application and tips
[TensorFlow] Lab-05-2 Logistic Regression
[TensorFlow] Lab-05-3 Logistic Regression
[TensorFlow] Lab-03 Liner Regression and How to minimize cost LAB
[TensorFlow] Lab-11-0-1 cnn basics convolution
[TensorFlow] Lab-05-1 Logistic Regression
[TensorFlow] Lab-07-3-1 application and tips
[TensorFlow] Lab-11-0-2 cnn basics pooling
[TensorFlow] Lab-10-2 Weight Initialization
[TensorFlow] Lab-10-3 Dropout
[TensorFlow] Lab-09-1 neural nets XOR
[TensorFlow] Lab-07-2-2 application and tips
[TensorFlow] Lab-06-1 Softmax Classifier
[TensorFlow] Lab-10-4 Batch Normalization
[TensorFlow] Lab-07-2-1 application and tips
[TensorFlow] Lab-11-1 mnist cnn keras sequential eager
[TensorFlow] Lab-10-1 Relu
[TensorFlow] Lab-07-1 application and tips
[TensorFlow] Lab-09-2 tensorboard XOR
[TensorFlow] Lab-06-2 Softmax Classifier Animal Classification
[PyTorch] Lab-10-1 Convolution
[TensorFlow] Lab-11-2 mnist cnn keras functional eager
[TensorFlow] Lab-12-0 rnn basics
[PyTorch] Lab-11-6 RNN PackedSequence
[PyTorch] Lab-10-6-2 Advanced CNN(RESNET)2
Docker Instruction
[PyTorch] Lab-10-4-2 ImageFolder2
[TensorFlow] Lab-12-6 seq to seq with attention
[PyTorch] Lab-10-2 mnist cnn