What is machine learning / ai ? What is deep learning? How to lean machine learning in practice?
Machine learning and neural networks are got a lot of attention recently. Self driving cars, predictive analytics and other highly advanced topics are closely related to those topics. Therefore it's of the utmost of importance to familiarize oneself with machine learning and neural networks. The difficult question basically is how to learn and understand neural networks. How to code machine learning algorithms in python?
Especially as a beginner it seems to be very hard to delve into this topic because of statistics and math which is an integral part of machine learning. None the less I can assure you do not need to be a math expert to apply machine learning. And in this course I show you how.
Instead of telling giving you all the theory behind machine learning, I prefer teaching you a hand on approach, so you can actually write the code yourself. At the end of the day there's only one thing that really counts - THE RESULT. I believe in learning by coding. That's why the course is developed to encourage you to follow along and write the code yourself. At the end you can see your own algorithm's results.
By joining this course you can leverage the knowledge you acquired from my other courses (Machine Learning for Beginners - Neural Networks, Machine Learning for Beginners and machine learning for beginners - deep dive) and get the chance to dive into the world of neural networks from different perspectives.
If you are searching for hands on machine learning courses to start with, where you get the chance to really practicing to code yourself than this is the course for you!
Besides covering different ways to code deep neural networks and using tensorflow we will also cover the LSTM (Long short term memory neural network) model and use it in combination with word embedding to train our model to predict movie review sentiment.
I wish you all the best, enjoy the course, get your hands dirty and start coding!
Expect to see you in the first lecture
Learn to easily create the Neural Network in python with numpy only
Finalize your first neural network in Python. Cogratulation you have created your first neural network. Simple isn't it?
You get a brief introduction about our problem, and the neural network structure in general. Then we start coding our neural network with tensorflow
Start creating the structure of the neural network in tensorflow. Write the code with me. Practice makes perfect.
I had to cut the last video due to 20min restrictions on udemy. You can write the final lines of code for your neural network in tensorflow
Cards on the table. Let's train and check our neural network'sperformance. Congratulations you made it.
(Errors will always happen. Don't get discouraged. This is part of programming NNs)
Tensorflow is great but the sytax is rather difficult. Let's leverage keras to create our neural network which less lines of code
Let's check the performace of our Neural Network.
In this part of the course we learn LSTM and word embedding to do a sentiment analysis using our neural network
Here we create the code for our LSTM Model from scratch
Short and to the point. Final important words for you.
Thanks for participation and please provide feedback.
Daniel is a 28 year old entrepreneur ,data scientist and web analyst consultant. He holds a master degree as well as other major certificates from Google and others.
He is committed to support other people by offering them educational services to help them accomplishing their goals and becomming the best in their profession.
"In order to do the impossible you need to see the invisible"