Broadcasting in Python - Neural Networks and Deep Learning
Link to this course:
https://click.linksynergy.com/deeplin...
Broadcasting in Python - Neural Networks and Deep Learning
Deep Learning Specialization
If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new superpower that will let you build AI systems that just weren't possible a few years ago.
In this course, you will learn the foundations of deep learning. When you finish this class, you will:
Understand the major technology trends driving Deep Learning
Be able to build, train and apply fully connected deep neural networks
Know how to implement efficient (vectorized) neural networks
Understand the key parameters in a neural network's architecture
This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions.
This is the first course of the Deep Learning Specialization.
Artificial Neural Network, Backpropagation, Python Programming, Deep Learning
It's really quite an amazing course where we get to learn the mathematics behind the Neural Networks. It is great to learn such core basics which will help us further in developing our own algorithms.,A bit easy (python wise) but maybe that's just a reflection of personal experience / practice. The contest is easy to digest (week to week) and the intuitions are well thought of in their explanation.
Broadcasting in Python - Neural Networks and Deep Learning
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