In this two-week intensive bootcamp, our goal is to dispell the myths of Deep Learning, and show you how to build real world applications. The camp will be held from 22nd Feb to 2nd March 2019.
AstroLabs Dubai, Cluster R, Jumeirah Lakes Towers, Unit JLT-PH2-RET-R5, Dubai
22 February 2019, 10:00 AM
02 March 2019, 04:00 PM
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
- 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.
Category: Classes / Courses | Academic / Learning.
Students: AED 3000.00,
Standard: AED 5000.00,
Corporate: AED 7000.00.