This intermediate learning path is for people who want to build their understanding of deep learning and neural networks through video explanations and independent practice.
About this course
Learn deep learning and neural networks with free video lessons from Simplilearn. Neural-network foundations, convolutional and recurrent networks and selected deep-learning explanations. Study at your own pace in the WikiFree classroom.
Course at a glance
| Provider | Simplilearn |
|---|---|
| Platform | YouTube · Simplilearn |
| Access | Free Video |
| Level | Intermediate · WikiFree audience assessment |
| Language | English |
| Selected lessons | 59 |
| Video duration | 78h 16m · additional practice time is recommended |
| Format | Self-paced video learning |
| Details checked | 11 October 2026 |
What you’ll learn
- Explore neural-network foundations, convolutional and recurrent networks and selected deep-learning explanations.
- Follow the selected explanations of Neural Networks, CNNs and RNNs.
- Connect concepts to lessons such as TensorFlow Tutorial — Deep Learning with TensorFlow — TensorFlow Tutorial for Beginners.
- Practise independently: Compare a feed-forward network, a CNN and an RNN, and explain one appropriate use case for each.
Skills you’ll gain
- Neural Networks
- CNNs
- RNNs
Course Overview
Neural-network foundations, convolutional and recurrent networks and selected deep-learning explanations. The classroom brings together 59 selected learning videos from Simplilearn’s public YouTube course playlist. You can follow the sequence or use the lesson search to revisit a particular subject.
The selected curriculum includes the following lesson examples:
- Deep Learning — What is Deep Learning? — Deep Learning Tutorial For Beginners — 2026
- TensorFlow Tutorial — Deep Learning with TensorFlow — TensorFlow Tutorial for Beginners
- Top Deep Learning Algorithms You Should Know About — Deep Learning Algorithms Explained
- TensorFlow And Keras Tutorial — Deep Learning With TensorFlow & Keras — Deep Learning
- Deep Learning Basics Tutorial — Deep Learning Fundamentals — Deep Learning Training
Each course retains its relevant lessons, including videos also used in another course. Numbered series follow their original lesson or part order. Only reviewed advertisements, unrelated items and identical repeated playlist entries are excluded. Source recordings may have been made at different times.
Who is this for?
This intermediate learning path is for people who want to build their understanding of deep learning and neural networks through video explanations and independent practice.
Basic machine learning, Python and linear algebra are recommended.
Put the lessons into practice
Compare a feed-forward network, a CNN and an RNN, and explain one appropriate use case for each.
This is an optional WikiFree practice suggestion, not a graded assignment supplied by Simplilearn. Pause the videos when a concept is unfamiliar, keep notes and repeat a small example before moving on.
Certificate / Assessment
The public YouTube lessons are free to watch. This listing does not include a Simplilearn certificate, an accredited qualification, a provider-marked examination or instructor feedback. Separate Simplilearn programs can have their own enrollment and certificate requirements.
Mark complete is a personal progress tracker. It does not assess your answers or verify that you have mastered the lesson.
Related courses for your next step
- Explore a higher-level optionFree MIT Course: Deep Learning Foundations and Neural Networks
Focus: Lec 09. Hacker's Guide to Deep Learning · Lec 17. Generalization: Out-of-Distribution (OOD)
Professional - Compare another approachNeural Networks and Deep Learning: Free Course
Focus: Vectorization · Backpropagation
Intermediate - Compare another approachNeural Networks and Transformers: Free Course
Focus: Neural-network concepts · Gradient descent
Intermediate - Compare another approachFree Simplilearn Course: TensorFlow Fundamentals and Model Building
Focus: Dataflow Graphs · Model Basics
Intermediate - Explore a higher-level optionFull Stack Deep Learning: Free Course
Focus: Deep learning engineering · Experiment management
Professional
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free Simplilearn Course: Deep Learning and Neural Networks | Intermediate | Neural Networks · CNNs · RNNs | 78h 16m of video; practice time is additional |
| Free MIT Course: Deep Learning Foundations and Neural Networks | Professional | Lec 09. Hacker's Guide to Deep Learning · Lec 17. Generalization: Out-of-Distribution (OOD) · PyTorch Tutorial | 29h 31m of video; practice time is additional |
| Neural Networks and Deep Learning: Free Course | Intermediate | Neural networks · Vectorization · Backpropagation | 5h 40m of video; practice time is additional |
| Neural Networks and Transformers: Free Course | Intermediate | Neural-network concepts · Gradient descent · Backpropagation | 3h 37m of video; practice time is additional |
| Free Simplilearn Course: TensorFlow Fundamentals and Model Building | Intermediate | Dataflow Graphs · Model Basics · Use Cases | 4h 16m of video; practice time is additional |
| Full Stack Deep Learning: Free Course | Professional | Deep learning engineering · Experiment management · ML testing | 11h 33m of video; practice time is additional |
Frequently asked questions
Is this Simplilearn course free?
Yes. The selected public YouTube videos can be watched for free. Any software, cloud service, hardware or separate certification mentioned in the videos has its own access conditions.
What should I know before starting?
Basic machine learning, Python and linear algebra are recommended.
How long does the course take?
The selected videos total 78h 16m. Your study time can be longer because of notes, repeated examples and independent practice.
Does watching the videos give me a certificate?
No certificate is included with this WikiFree YouTube listing. Watching videos or marking them complete does not earn a Simplilearn qualification.
Can I study on my phone?
Yes. Use the responsive video player and lesson list on a phone, tablet or computer. Programming, software and hardware exercises may be easier on an appropriate computer or device.
Are all demonstrations current?
The playlist includes recordings made at different times. Software interfaces, services and exam requirements can change; check the current official documentation when reproducing a demonstration.
Source: Simplilearn’s official YouTube course playlist.
Provider: Simplilearn. Videos play from the Simplilearn channel on YouTube.
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