What you would learn in Practical Neural Networks and Deep Learning in Python course?
This is a complete NEURAL NETWORKS AND DEEP LEARNING training using PyTorch, H2O, KERAS & TensorFlow IN Python!
It's a total of five hours plus a Deep Learning Boot Camp that will teach you the basics of neural networks, machine learning, and deep learning by using one of the top Python Deep Learning frameworks- PyTorch H2O, Keras, and Tensorflow.
Here's why you SHOULD ENROLL in this course:
This course is a complete tutorial on machine learning and deep learning with Python's PyTorch, H2O, Keras, and Tensorflow frameworks.
This course covers the essential aspects of these architectures. If you choose to take this course, you will avoid taking additional courses or buying books on the various Python-based deep learning architectures.
In this era of massive data, businesses worldwide use Python to parse through the myriad of available data. The emergence of frameworks like PyTorch, Keras, H2o, Tensorflow is revolutionizing Deep Learning...
If you can master PyTorch, H2O, Keras, and Tensorflow, You can provide your company an edge and take your career to the next step.
Discover seven complete sections covering every aspect of crucial deep learning frameworks:
* A complete description of Python Data Science and a powerful Python-powered framework to conduct data science. AnacondaBeginning with Jupyter notebooks to implement techniques for data science using Python * A detailed presentation on PyTorch H2o, Tensorflow, and Keras installation and an overview of all the additional Python data science tools * A brief overview of the operation of critical programs in data science like Pandas and Numpy. * The fundamentals of the PyTorch, H2o, Tensorflow, and Keras syntax * The fundamentals for working with images data using Python The theoretical foundations that underlie neural network concepts like artificial neural networks deep neural networks, deep neural networks, and convolutional networks (CNN) * You'll learn how to build artificial neural networks as well as deep learning structures using PyTorch, Keras, and Tensorflow (on actual data)
BUT, WAIT! It's not just any OTHER data science course:
The first step is to learn the essential PyTorch, Tensorflow, and Keras basic concepts and techniques.
I employ simple, easy-to-understand techniques to simplify and tackle even the most complex concepts.
My course will guide you through the techniques using actual data from various sources. Most courses use fake data, which does not allow students to apply the Python data science method in real-world scenarios.
Following this class, you'll be able to make use of packages such as Numpy, Pandas, and PIL to deal with actual data using Python and gain proficiency in the most essential of deep-learning architectures. I'll also show you how to use deep learning models, such as Convolution Neural network (CNN) !!
The primary reason for the course is to make sure that you can apply Python-based data science to accurate data in the present and begin to analyze data for your projects regardless of your experience level, and impress prospective employers with real-world instances of your data science skills.
It's a hands-on and hands-on class, i.e., we will explore certain theoretical concepts relevant to data science. But, the bulk of the course will be centered on applying different methods to accurate data and interpreting the results. The problems we'll tackle include detecting fraudulent credit cards and separating the pictures of various fruits.
In each video, you'll learn an idea or a technique that you can use for your projects!
Utilize the Power of Anaconda/iPython for Data Science Practical Applications (Including AI Applications)
Learn to Install and Use the necessary Deep Learning packages In Anaconda (Including Keras, H20, Tensorflow, and PyTorch)