4 Best Deep Learning Python Courses [2020]

Best deep learning python course tutorial class certification training online

 

If you are interested in learning Deep Learning with Python, then our team of experts has compiled a list of Best Four Deep Learning Python Courses, Classes, Tutorials, Training, and Certification programs available online for 2020. This list includes both free and paid courses to help you learn Deep Learning. Also, it is ideal for beginners, intermediates, as well as expert individuals.

 

4 Best Deep Learning Python Courses [2020]

1. Introduction to Deep Learning in Python (DataCamp)

If you are interested in learning the fundamentals of Neural Networks and how to build Deep Learning modules with Keras 2.0, then this course from DataCamp is the right choice for you. Taking this course will give you a brief introduction to Deep Learning, which creates the most exciting capabilities in various areas, such as natural language processing, artificial intelligence, robotics, and image recognition. This course consists of four different chapters, amongst which the first chapter, “Basics of Deep Learning and Neural Networks” is absolutely free to enroll. During the course, you will gain hands-on, practical knowledge of how to use deep learning with Keras 2.0, which is the latest version of a cutting-edge library for deep learning in Python.

 

Key USPs –

– Be acquainted with the fundamental concepts and terminology used in deep learning, and understand how deep learning techniques are so powerful

– Learn how to enhance the forecasts generated by neural networks by using the ‘Backward Propagation’ method

– Understand how to use Keras library for building deep learning models for both classification and regression

– Know about the Specify-Compile-Fit workflow that is used to make accurate predictions

– Get continuous support from a team of experts to resolve your queries related to Deep Learning and Python

 

Duration: 4 hours

Rating: 4.5 out of 5

You can Sign up Here

 

Review: “DataCamp is by far, my favorite website to learn from.” – Ronald Bowers

 

 

2. Deep Learning with Python (Udemy)

This course aims to provide a clear understanding of Deep Learning modules so that you can learn how to develop deep neural networks by increasing and improving the number of training layers for each network. You will begin with getting a basic knowledge of calculus, and then move on to understand backpropagation and its application for training in neural networks for deep learning. The course is designed by Eder Santana, who has worked with Kernel Machines and Deep Learning for more than five years. During the course, he will help you learn some of the advanced techniques of Deep Learning to Build neural networks.

 

Key USPs –

– An introductory course designed to give you a basic understanding of Deep Learning and Neural Networks using Python

– Learn how to exhibit the dominant mechanism of seamless CPU and GPU usage with Theano, and how to apply convolutional neural networks for image analysis

– Learn about recurrent neural networks and build up the theory that focuses on supervised learning and integrates into your product offerings like Search, Image Recognition, and Object Processing

– Be confident about the implementation of Deep Learning in your current work as well as further research after finishing the course

 

Duration: 2-3 hours

Rating: 3.9 out of 5

You can Sign up Here

 

Review: The course informed me of several areas where Python is useful. The instructor keeps the material engaging. – David T. Lawrence

 

 

3. Data Science: Deep Learning in Python (Udemy)

This course is designed to help you learn how to build your first artificial neural network with the help of basic deep learning techniques. You will begin with the basic building block to build full-on non-linear neural networks with the help of Python and NumPy, and then move on to learning the most critical training method – backpropagation. The course is designed by expert instructors of Lazy Programmer Inc., who will provide you with practical examples during the course to help you understand how deep learning can be used on anything. After finishing the course, you can also move to learn some of the best deep learning training & tutorials.

 

Key USPs –

– An advanced course that focuses on ‘how to build and understand’ deep neural networks with the help of Python and NumPy

– Learn how deep learning actually works, how to code a neural network from scratch in Python, NumPy, and Google TensorFlow

– Learn about different types of neural networks and the different types of problems that can be resolved using these neural networks

– Know about various terms of neural networks like Activation, Backpropagation, and Feedforward

– Absolutely free to enroll with the freedom to study from your comfort zone

 

Duration: 10-11 hours

Rating: 4.6 out of 5

You can Sign up Here

 

Review: This is the only deep learning course that deals with the math behind the neural networks in so much detail. Great work. – Srinivas Mathur

 

 

4. Machine Learning with Python: From Linear Models to Deep Learning (edX)

This is one of the best courses available on Deep Learning that is designed to help you learn about the principles and algorithms for turning training data into compelling automated predictions. During the course, you will cover a variety of topics, such as Representation, overfitting, regularization, generalization, VC dimension, and many more. This course is a part of the MITx MicroMaster Program in Data Science, which means after completing this course, you can move to learn some other advanced concepts of python data science. Completing the course will provide you with a certificate of completion that can be shared with your resume or LinkedIn profile to showcase your skills.

 

Key USPs –

– Get a basic understanding of principles behind machine learning problems, such as classification, regression, clustering, and reinforcement learning

– Learn how to implement and analyze various models like Linear models, kernel machines, neural networks, and graphical models

– Understand how to apply and organize machine learning projects, from training, validation, parameter tuning, to feature engineering

– Get assistance and support from a team of experienced instructors who will help you understand the topics more clearly with hands-on projects and exercises

– Included with various video lectures, quizzes, and productive learning content to help you understand the topics more clearly

 

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here

 

So, these were the 4 Best Deep Learning Python Courses, Tutorials, Classes, Training & Certifications available online for 2020. Hope you found what you were looking for. Wish you a Happy Learning!