The 30 Best Deep Learning Courses on Udemy for 2021

Source: Udemy

The editors at Solutions Review have compiled this record of the most effective deep studying programs on Udemy to contemplate for those who’re seeking to develop your abilities.

Deep studying is a category of machine studying algorithms that makes use of a number of layers to progressively extract higher-level options from the uncooked enter. Based on synthetic neural networks and illustration studying, deep studying will be supervised, semi-supervised or unsupervised. Deep studying fashions are generally primarily based on convolutional neural networks however may also embrace propositional f formulation or latent variables organized by layer.

With this in thoughts, we’ve compiled this record of the most effective deep studying programs on Udemy for those who’re seeking to develop your abilities for work or play. Udemy is without doubt one of the high on-line training platforms on the planet with greater than 130,000 programs, skilled instruction, and lifelong entry that permits you to be taught by yourself schedule. As you possibly can see beneath, we broke the most effective deep studying programs on Udemy down into classes primarily based on the beneficial proficiency stage. Each part additionally options our inclusion standards. Click GO TO TRAINING to be taught extra and register.

Table of Contents

Best Deep Learning Courses on Udemy for Beginners

Note: We included programs with greater than 100 opinions and a ranking of 4.1 stars or higher.

Machine Learning, Data Science and Deep Learning with Python

Description: If you’ve obtained some programming or scripting expertise, this course will train you the strategies utilized by actual knowledge scientists and machine studying practitioners within the tech trade – and put together you for a transfer into this scorching profession path. This complete machine studying tutorial contains over 100 lectures spanning 14 hours of video, and most matters embrace hands-on Python code examples you should use for reference and for follow. Each idea is launched in plain English, avoiding complicated mathematical notation and jargon. It’s then demonstrated utilizing Python code you possibly can experiment with and construct upon, together with notes you possibly can preserve for future reference.

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Deep Learning: Visual Exploration

Description: Visual introduction to deep studying relies on a easy deep neural community. Take this course if you wish to perceive the magic behind deep neural networks and to get a wonderful visible instinct on what is occurring underneath the hood when knowledge is touring by the community and finally ends up as a prediction at its output. You will visually see what precisely they’re doing and the way neural networks use these parts to give you correct predictions.

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A Complete Guide on TensorFlow 2.0 using Keras API

Description: Deep Learning is without doubt one of the fastest-growing areas of synthetic intelligence. In the previous few years, it has confirmed that deep studying fashions, even the only ones, can remedy very onerous and complicated duties. Now that the buzz-word interval of deep studying has partially, handed, individuals are releasing its energy and potential for his or her product enhancements. The course is structured in a method that covers all matters from neural community modeling and coaching to place it in manufacturing.

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Practical Deep Learning with Keras and Python

Description: This course is for you in case you are new to machine studying however need to be taught it with out all the maths. This course can be for you in case you have had a machine studying course however may by no means work out the best way to use it to unravel your personal issues. This is a really utilized course, so readers will instantly begin coding even with out set up! You will see a quick little bit of completely important concept after which we’ll get into the surroundings setup and clarify nearly all ideas by code. You will likely be utilizing Keras.

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TensorFlow and the Google Cloud ML Engine for Deep Learning

Description: TensorFlow is rapidly changing into the expertise of selection for deep studying, due to how straightforward TF makes it to construct highly effective and complex neural networks. The Google Cloud Platform is a good place to run TF fashions at scale, and carry out distributed coaching and prediction. This is a complete, from-the-basics course on TensorFlow and constructing neural networks. It assumes no prior information of Tensorflow, all it is advisable know is primary Python programming.

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Accelerate Deep Learning on Raspberry Pi

Description: After infinite posts on boards, tutorials, and blogs, the instructors have documented a seamless information within the type of this course; which can present you, step-by-step, on the best way to implement your personal deep studying object detection fashions on video and webcam with out all of the wasteful debugging. So basically, this coaching has been structured to scale back debugging, pace up your time to market, and get you outcomes sooner.

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Best Deep Learning Courses on Udemy for Intermediate

Note: We included programs with greater than 1,000 opinions and a ranking of 4.5 stars or higher.

Complete Guide to TensorFlow for Deep Learning with Python

Description: This course will information you thru the best way to use Google’s TensorFlow framework to create synthetic neural networks for deep studying! This course goals to provide you an easy-to-understand information to the complexities of Google’s TensorFlow framework in a method that’s straightforward to grasp. This course is designed to steadiness concept and sensible implementation, with full Jupyter pocket book guides of code and straightforward to reference slides and notes.

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Data Science: Deep Learning and Neural Networks in Python

Description: This course will get you began in constructing your first synthetic neural community utilizing deep studying strategies. You ought to take this course in case you are focused on beginning your journey towards changing into a grasp at deep studying, or in case you are focused on machine studying and knowledge science usually. This course supplies you with many sensible examples so as to actually see how deep studying can be utilized on something.

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Python for Computer Vision with OpenCV and Deep Learning

Description: This course is your greatest useful resource for studying the best way to use the Python programming language for pc imaginative and prescient. Students will discover the best way to use Python and the OpenCV (open pc imaginative and prescient) library to investigate photographs and video knowledge. Students begin the course by studying about numerical processing with the NumPy library and the best way to open and manipulate photographs with NumPy.

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Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

Description: In this course, you’ll see how we will flip a CNN into an object detection system, that not solely classifies photographs however can find every object in a picture and predict its label. Students will likely be a state-of-the-art algorithm referred to as SSD which is each sooner and extra correct than its predecessors. Instructors can even introduce you to the now-famous GAN structure (Generative Adversarial Networks), the place you’ll be taught a number of the expertise behind how neural networks are used to generate state-of-the-art, photo-realistic photographs.

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Deep Learning with Python and Keras

Description: This course is designed to supply an entire introduction to Deep Learning. It is geared toward newbies and intermediate programmers and knowledge scientists who’re acquainted with Python and need to perceive and apply Deep Learning strategies to a wide range of issues. This course is an efficient steadiness between concept and follow. We don’t draw back from explaining mathematical particulars and on the similar time we offer workouts and pattern code to use what you’ve simply realized.

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Recommender Systems and Deep Learning in Python

Description: This course is a giant bag of methods that make recommender programs work throughout a number of platforms. Students will take a look at standard information feed algorithms, like Reddit, Hacker News, and Google PageRank. Learners can even take a look at Bayesian advice strategies which are being utilized by a lot of media corporations at present.

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Deep Learning: GANs and Variational Autoencoders

Description: In this new course, college students will be taught the construction of information as a way to produce extra stuff that resembles the unique knowledge. This by itself is admittedly cool, however learners can even be incorporating concepts from Bayesian machine studying, reinforcement studying, and sport concept. That makes it even cooler! This coaching module is recommenced for anybody who desires to enhance their deep studying information.

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Unsupervised Deep Learning in Python

Description: If you have an interest in deep studying and also you need to find out about fashionable deep studying developments past simply plain backpropagation, together with utilizing unsupervised neural networks to interpret what options will be robotically and hierarchically realized in a deep studying system, this course is for you. This course focuses on “how to build and understand”, not simply “how to use”. Anyone can be taught to make use of an API in 15 minutes after studying some documentation. It’s not about “remembering facts”, it’s about “seeing for yourself” through experimentation.

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Best Deep Learning Courses on Udemy for Experts

Note: We included programs with greater than 800 opinions and a ranking of 4.6 stars or higher.

Natural Language Processing with Deep Learning in Python

Description: This course focuses on “how to build and understand”, not simply “how to use”. Anyone can be taught to make use of an API in 15 minutes after studying some documentation. It’s not about “remembering facts”, it’s about “seeing for yourself” through experimentation. It will train you the best way to visualize what’s occurring within the mannequin internally. If you need extra than only a superficial take a look at machine studying fashions, this course is for you.

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Advanced AI: Deep Reinforcement Learning in Python

Description: This course is all in regards to the utility of deep studying and neural networks to reinforcement studying. Specifically, the mixture of deep studying with reinforcement studying has led to AlphaGo beating a world champion within the technique sport Go, it has led to self-driving automobiles, and it has led to machines that may play video video games at a superhuman stage.

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Cutting-Edge AI: Deep Reinforcement Learning in Python

Description: This course permits college students to discover a wide range of environments. First, college students will take a look at the traditional Atari environments. These are essential as a result of they present that reinforcement studying brokers can be taught primarily based on photographs alone. Second, learners discover MuJoCo, which is a physics simulator. This is step one to constructing a robotic that may navigate the real-world and perceive physics – we first have to point out it could possibly work with simulated physics.

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Best Deep Learning Courses on Udemy for All Levels

Note: We included programs with greater than 800 opinions and a ranking of 4.Four stars or higher.

Deep Learning A-Z: Hands-On Artificial Neural Networks

Description: In Deep Learning A-Z, the instructors code along with you. Every sensible tutorial begins with a clean web page and college students write up the code from scratch. This method you possibly can comply with alongside and perceive precisely how the code comes collectively and what every line means. In addition, lecturers will purposefully construction the code in such a method so as to obtain it and apply it to your personal tasks. They will likely be defined step-by-step the place and the best way to modify the code to insert your dataset to tailor the algorithm to your wants.

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Deep Learning Prerequisites: The Numpy Stack in Python

Description: This course was designed for college students and professionals with little Numpy expertise who plan to be taught deep studying and machine studying later. It can be very best for college students and professionals who’ve tried machine studying and knowledge science however are having bother placing the concepts down in code. If you’ve taken a deep studying or machine studying course, and also you perceive the speculation, and you may see the code, however you possibly can’t make the connection between the best way to flip these algorithms into precise operating code, this course is for you.

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Tensorflow 2.0: Deep Learning and Artificial Intelligence

Description: This course is designed for college students who need to be taught quick, however there are additionally “in-depth” sections in case you need to dig just a little deeper into the speculation (like what’s a loss perform, and what are the various kinds of gradient descent approaches). Tensorflow is the world’s hottest library for deep studying, and it’s constructed by Google, whose mother or father Alphabet just lately turned probably the most cash-rich firm on the planet. It is the library of selection for a lot of corporations doing AI and machine studying.

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Complete Tensorflow 2 and Keras Deep Learning Bootcamp

Description: This course will information you thru the best way to use Google’s newest TensorFlow 2 framework to create synthetic neural networks for deep studying. This course goals to provide you an easy-to-understand information to the complexities of Google’s TensorFlow 2 framework in a method that’s straightforward to grasp. Instructors give attention to understanding the most recent updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0’s official API) to rapidly and simply construct fashions.

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Deep Learning Prerequisites: Linear Regression in Python

Description: This course teaches you about one standard approach utilized in machine studying, knowledge science and statistics: linear regression. Instructors cowl the speculation from the bottom up: derivation of the answer, and functions to real-world issues. Teachers present you the way one may code their very own linear regression module in Python as nicely. Linear regression is the only machine studying mannequin you possibly can be taught, but there may be a lot depth that you simply’ll be returning to it for years to return.

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Deep Learning: Convolutional Neural Networks in Python

Description: This course will train you the basics of convolution and why it’s helpful for deep studying and even NLP (pure language processing). You will find out about fashionable strategies comparable to knowledge augmentation and batch normalization, and construct fashionable architectures comparable to VGG your self. All of the supplies required for this course will be downloaded and put in totally free. Students will do most of their work in Numpy, Matplotlib, and Tensorflow.

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Deep Learning: Recurrent Neural Networks in Python

Description: This course focuses on “how to build and understand”, not simply “how to use”. Anyone can be taught to make use of an API in 15 minutes after studying some documentation. It’s not about “remembering facts”, it’s about “seeing for yourself” through experimentation. It will train you the best way to visualize what’s occurring within the mannequin internally. If you need greater than only a superficial take a look at machine studying fashions, this course is for you. All of the supplies required for this course will be downloaded and put in totally free.

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Deep Learning Prerequisites: Logistic Regression in Python

Description: This course is a lead-in to deep studying and neural networks – it covers a well-liked and elementary approach utilized in machine studying, knowledge science and statistics: logistic regression. Instructors cowl the speculation from the bottom up: derivation of the answer, and functions to real-world issues. Teachers additionally present you the way one may code their very own logistic regression module in Python.

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Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs

Description: With this new course, you’ll not solely find out how the most well-liked pc imaginative and prescient strategies work, however additionally, you will be taught to use them in follow. The solely requirement for registration is primary Python programming information. This coaching module was designed for anybody focused on pc imaginative and prescient or synthetic intelligence.

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Machine Learning & Deep Learning in Python & R

Description: After finishing this course it is possible for you to to confidently construct predictive machine studying and deep studying fashions to unravel enterprise issues and create enterprise technique, reply machinee learning-related interview questions, and take part and carry out in on-line knowledge analytics competitions like Kaggle. If you’re a enterprise supervisor or an government, or a scholar who desires to be taught and apply machine studying in real-world issues of enterprise, this course offers you a stable base for that by educating you the most well-liked strategies of machine studying.

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Modern Deep Learning in Python

Description: If you need to enhance your abilities with neural networks and deep studying, that is the course for you. This course is for college students and professionals who need to deepen their machine studying information, knowledge scientists who need to be taught extra about deep studying, and those that don’t but learn about backpropagation or softmax. Prerequisites embrace abilities in gradient descent and likelihood and statistics.

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PyTorch for Deep Learning with Python Bootcamp

Description: This course focuses on balancing essential concept ideas with sensible hands-on workouts and tasks that allow you to discover ways to apply the ideas within the course to your personal knowledge units! When you enroll on this course you’re going to get entry to rigorously laid out notebooks that designate ideas in an easy-to-understand method, together with each code and explanations facet by facet. You can even get entry to our slides that designate concept by easy-to-understand visualizations.

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Deep Learning Foundation: Linear Regression and Statistics

Description: This course goals to sharpen your linear regression and statistical abilities. Linear regression is a place to begin for knowledge science and this coaching module  is  centered on making your basis sturdy for deep studying and machine studying algorithms. In this course, the trainer explains speculation testing, unbiased estimators, statistical testing, gradient descent, and extra. By the top of the coaching, it is possible for you to to code your personal regression algorithm from scratch.

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Timothy King

Tim is Solutions Review’s Editorial Director and leads protection on huge knowledge, enterprise intelligence, and knowledge analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in knowledge administration and knowledge integration, Tim is a acknowledged influencer and thought chief in enterprise enterprise software program. Reach him through tking at solutionsreview dot com.

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