Coursera
July 2018 - Now
Topic Covered : Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization etc
Coursera
Oct 2017 - Now
Topic Covered :The major technology trends driving Deep Learning, Build, train and apply fully connected deep neural networks, Implement efficient (vectorized) neural networks, Key parameters in a neural network's architecture
Coursera
Nov 2017 - Now
Topic Covered: TensorFlow, industry best-practices for building deep learning applications,initialization, L2 and dropout regularization, Batch normalization, gradient checking, optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence, best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance.
Coursera
Nov 2017 - Now
Topic Covered: Build a successful machine learning project, How to diagnose errors in a machine learning system, Prioritize the most promising directions for reducing error, Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance, apply end-to-end learning, transfer learning, and multi-task learning.
Coursera
Feb 2018 - Now
Topic Covered: Build Convolutional neural networks and apply it to image data, including recent variations such as residual networks. - Know how to apply Convolutional networks to visual detection and recognition tasks, use neural style transfer to generate art, Apply these algorithms to a variety of image, video, and other 2D or 3D data.
Coursera
July 2018 - Now
Topic Covered: Build models for natural language, audio, build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs, apply sequence models to natural language problems, including text synthesis,apply sequence models to audio applications, including speech recognition and music synthesis.
Scrum Alliance
July 2016 - Now
Certified ScrumMaster (CSM) is an entry-level credential designed to give professionals getting started as Scrum practitioners an understanding of the project management methodology. The certification process provides candidates with an understanding of Scrum values, which emphasize teamwork, accountability and iterative progress toward a well-defined goal.