The above two topics of Deep Learning in this project are for the workshop happening in ShiftKey Labs. The Link for the workshop is bellow.
Workshop Link :- https://shiftkeylabs.ca/calendar/introduction-to-tensorflow-workshop/

Also If you are interested to learn more about Deep Learning and implementing some cool projects using tensorflow, then the full course is also available here below on the following channels.

O'RIELLY:- https://www.safaribooksonline.com/library/view/hands-on-deep-learning/9781789344752/
Packt :- https://www.packtpub.com/big-data-and-business-intelligence/hands-deep-learning-tensorflow-video
Udemy :- https://www.udemy.com/hands-on-deep-learning-with-tensorflow/

A basic familiarity with Machine Learning will be an advantage.

Are you short on time to start from scratch to use deep learning to solve complex problems involving topics like neural networks and reinforcement learning? If yes, then this is the course to help you. This course is designed to help you to overcome various data science problems by using efficient deep learning models built in TensorFlow.The course begins with a quick introduction to TensorFlow essentials. Next, we start with deep neural networks for different problems and then explore the applications of Convolutional Neural Networks on two real datasets. If you’re facing time series problem then we will show you how to tackle it using RNN. We will also highlight how autoencoders can be used for efficient data representation. Lastly, we will take you through some of the important techniques to implement generative adversarial networks. All these modules are developed with step by step TensorFlow implementation with the help of real examples.By the end of the course you will be able to develop deep learning based solutions to any kind of problem you have, without any need to learn deep learning models from scratch, rather using tensorflow and it’s enormous power.

✅ Use the power of TensorFlow to help you in your daily deep learning tasks
✅ Build a base for TensorFlow by implementing regression
✅ Solve prediction deep learning problems with TensorFlow
✅ Solve Image classification deep learning problems with TensorFlow
✅ Tackle the potential of RNN and LSTM Neural Networks with TensorFlow to solve time series problems
✅ Utilize the power of efficient data representation using autoencoders
✅ Effective ways to implement generative adversarial networks in the real world
✅ Get equipped to develop projects with deep learning