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Deep Learning with TensorFlow 2.0 [2020] – Learn Deep Course For Free

Deep Learning with TensorFlow 2.0 [2020] - Learn Deep Course For Free Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Cas

Deep Learning with TensorFlow 2.0 [2020] – Learn Deep Course For Free

Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Cas

What you’ll learn

Deep Learning with TensorFlow 2.0 [2020] – Learn Deep Course For Free

  • Gain a Strong Understanding of TensorFlow – Google’s Cutting-Edge Deep Learning Framework
  • Build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow
  • Set Yourself Apart with Hands-on Deep and Machine Learning Experience
  • Grasp the Mathematics Behind Deep Learning Algorithms
  • Understand Backpropagation, Stochastic Gradient Descent, Batching, Momentum, and Learning Rate Schedules
  • Know the Ins and Outs of Underfitting, Overfitting, Training, Validation, Testing, Early Stopping, and Initialization
  • Competently Carry Out Pre-Processing, Standardization, Normalization, and One-Hot Encoding

Requirements

  • Some basic Python programming skills
  • You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course.
  • All software and data used in the course are free.

Description

Data scientists, machine learning engineers, and AI researchers all have their own skillsets. But what is that one special thing they have in common?

They are all masters of deep learning.

We often hear about AI, or self-driving cars, or the ‘algorithmic magic’ at Google, Facebook, and Amazon. But it is not magic – it is deep learning. And more specifically, it is usually deep neural networks – the one algorithm to rule them all.

Cool, that sounds like a really important skill; how do I become a Master of Deep Learning?

There are two routes you can take:

The unguided route – This route will get you where you want to go, eventually, but expect to get lost a few times. If you are looking at this course you’ve maybe been there.

The 365 route – Consider our route as the guided tour. We will take you to all the places you need, using the paths only the most experienced tour guides know about. We have extra knowledge you won’t get from reading those information boards and we give you this knowledge in a fun and easy-to-digest methods to make sure it really sticks.

Clearly, you can talk the talk, but can you walk the walk? – What exactly will I get out of this course that I can’t get anywhere else?

Good question! We know how interesting Deep Learning is and we love it! However, we know that the goal here is career progression, that’s why our course is a business-focused and gives you real-world practice on how to use Deep Learning to optimize business performance.

We don’t just scratch the surface either – It’s not called ‘Skin-Deep’ Learning after all. We fully explain the theory from the mathematics behind the algorithms to the state-of-the-art initialization methods, plus so much more.

The theory is no good without putting it into practice, is it? That’s why we give you plenty of opportunities to put this theory to use. Implement cutting edge optimizations, get hands-on with TensorFlow and even build your very own algorithm and put it through training!

Wow, that’s going to look great on your resume!

Speaking of resumes, you also get a certificate upon completion which employers can verify that you have successfully finished a prestigious 365 Careers course – and one of our best at that!

Now, I can see you’re bragging a little, but I admit you have piqued my interest. What else does your course offer that will make my resume shine?

Trust us, after this course, you’ll be able to fill your resume with skills and have plenty left over to show off at the interview.

  • Explore layers, their building blocks, and activations – sigmoid, tanh, ReLu, softmax, etc.
  • Understand the backpropagation process, intuitively and mathematically.
  • You’ll be able to spot and prevent overfitting – one of the biggest issues in machine and deep learning
  • Get to know the state-of-the-art initialization methods. Don’t know what initialization is? We explain that, too
  • Learn how to build deep neural networks using real data, implemented by real companies in the real world. TEMPLATES included!
  • Also, I don’t know if we’ve mentioned this, but you will have created your very own Deep Learning Algorithm after only 1 hour of the course.
  • It’s this hands-on experience that will really make your resume stand out

This all sounds great, but I am a little overwhelmed, I’m afraid I may not have enough experience.

We admit you will need at least a little understanding of Python programming but nothing to worry about. We start with the basics and take you to step by step toward building your very first (or second, or third, etc.) Deep Learning algorithm – we program everything in Python and explain each line of code.

We do this early on and it will give you the confidence to carry on to the more complex topics we cover.

Our beautifully animated videos and step by step approach ensures the course is a fun and engaging experience for all levels.

We want everyone to get the most out of our course, and the best way to do that is to keep our students motivated. Each lecture builds upon the last and practical exercises mean that you can practice what you’ve learned before moving on to the next step.

Who this course is for:

  • Aspiring data scientists
  • People interested in Machine Learning, Deep Learning, Business, and Artificial Intelligence,
  • Anyone who wants to learn how to code and build machine and deep learning algorithms from scratch
  • Learning and Practicing JavaScript: Get Started Course
  • Last updated 1/2020

Deep Learning with TensorFlow 2.0 [2020] – Learn Deep Course For Free

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