Certificates of ML

Certificates / Machine Learning Courses:

  • “Deep Learning Specialization”, Coursera, Prof. Andrew Ng, deeplearning.ai, Licence Number: 7VEJK7E5KH4C. (Five interconnected courses about  Computer Vision, Natural Language Processing, Speech Recognition: “Sequence Models”, “Convolutional Neural Networks”, “Structuring Machine Learning Projects”, “Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization”, “Neural Networks and Deep Learning”)
  • “Sequence Models”, Coursera, Prof. Andrew Ng, deeplearning.ai, Licence Number: VNWMURQ4YGDF. (Recurrent neural networks, backpropagation through time, different types of RNNs, language model, gated recurrent unit, LSTM, natural language processing, word embeddings, word2vec, sentiment classification, beam search, trigger word detection, speech recognition)
  • “Convolutional Neural Networks”, Coursera, Prof. Andrew Ng, deeplearning.ai, Licence Number: R79J7S9ZZYRS. (Computer vision, edge detection, padding, convolutions, pooling, Residual Nets, Inception network,  data augmentation, landmark detection, object detection, YOLO, one shot learning, face recognition, neural style transfer)
  • “Structuring Machine Learning Projects”, Coursera, Prof. Andrew Ng, deeplearning.ai, Licence Number: HHP5EABRTSLW. (Single number evaluation metric, train/dev/test distribution, avaidable bias, human level performance, error analysis, addressing data mismatch, transfer learning, multi-task learning, end-to-end deep learning)
  • “Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization”, Coursera, Prof. Andrew Ng, deeplearning.ai, Licence Number: ZRGYXHMGFW9Z.  (Bias/variance, regularization, dropout, weight initialization, vanishing/explodient gradients, mini-batch, momentum, RMSprop, Adam optimization, learning rate decay, batch normalization, softmax, dl frameworks, tensorflow )
  • “Neural Networks and Deep Learning”, Coursera, Prof. Andrew Ng, deeplearning.ai, Licence Number: UDTU7C54Z8D4.  (Logistic regression, shallow network and deep learning neural network implementation, backpropagation, forward propagation, vectorization, gradient descent, activation function)
  • “Neural Networks for Machine Learning”, Coursera, Prof. Geoffrey Hinton, University of Toronto, Licence Number: 2XUGY5H26DXS. (Perceptron, forward and back propagation, convolutional nets, mini-batch, momentum, RMSprop, recurrent neural nets, LSTM, Hopfield nets, Boltzmann machines, RBM, Deep Belief Nets, Autoencoders)

 

Confirmation: https://www.coursera.org/account/accomplishments/certificate/\#LicenceNumber\#

e.g: https://www.coursera.org/account/accomplishments/certificate/ZRGYXHMGFW9Z

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