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Astrolabs Deep Learning Bootcamp

In this 2 week intensive bootcamp, our goal is to dispell the myths of Deep Learning, and show you how to build real world applications. Day 1 - Python basics Friday, February 22, 2019 10am-4pm This module will be a crash course in Python for those that are unfamiliar with the language. If you have experience in Python, it will serve as a short refresher. Day 2 - Numpy and ND arrays and Data Visualization in Python Saturday, February 23, 2019 10am-4pm. - Python Libraries - Array creation and representation - Indexing and slicing - Universal Functions - Reductions - Linear operations Day 3 - Deep learning, Machine Learning and Artificial Intelligence 101 Sunday, February 24, 2019 6:30-9pm Deep learning 101: - Deep Learning, Machine Learning and Artificial Intelligence Programming Basics - Fundamentals of deep learning - Building neural network from scratch (how to program them) Day 4 - Machine Learning Libraries and Keras Monday,February 25, 2019 6:30-9pm. Creating Models in Keras: - Intro to Machine Learning libraries - Keras layers and models - Optimizers and loss functions - Training a Keras model Day 5 - Deep Learning for Computer Vision, Introducton to Convolutional Neural Networks Tuesday, February 26, 2019 6:30-9pm Introduction to Convolutional Neural Networks (ConvNets ): - Real World uses of Convnet - What is convolution? - Convolution in image processing Day 6 - Learn to Implement and train a ConvNet in Keras Wednesday, February 27, 2019 6:30-9pm. Training a Convnet in Keras: - Building a convnet using keras - Training the convnet on MNIST dataset - Plotting the loss graph in matplotlib Day 7 - Implementing common application algorithms for Deep Learning Thursday, February 28, 2019 6:30-9pm. Day 8 - Understand Recurrent Neural Networks in the context of Sequential data, Different architectures of RNN Friday, March 1, 2019 10am-4pm. Day 9 - mplement a RNN in keras for different applications, RNN for NLP (Machine Translation, Sentiment Classification, Named Entity Recognition) + Program wrap up. End Date: March 02, 2019. End Time: 4:00 pm. Category: Classes / Courses | Academic / Learning. Prices: Students: AED 3000.00, Standard: AED 5000.00, Corporate: AED 7000.00.