Getting Started with Deep Learning
IntermediateLevel
9 Hrs Duration
About this Course
- Deep Learning is transforming industries, from computer vision to NLP, with powerful applications.
- This course starts from scratch, covering Neural Networks & Deep Learning step by step.
- Gain hands-on experience in building deep learning models using frameworks like TensorFlow, PyTorch, and Keras.
Learning Outcomes
DL Fundamentals
Master Deep Learning fundamentals and core concepts.
CNNs, RNNs and LSTMs
Explore CNNs, RNNs, LSTMs, and when to use them for specific tasks.
Keras and Pytorch
Apply Deep Learning with Keras & PyTorch to solve real-world problems
Who Should Enroll
- Data scientists, AI/ML engineers, and developers—build a strong foundation in deep learning concepts and applications.
- AI beginners, students, and researchers—Explore and understand fundamental deep learning concepts.
- Perfect for those looking to gain hands-on skills in practical deep learning implementation.
Course Curriculum
Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.
1. What is Deep Learning?
2. Deep Learning and machine learning?
3. Why Deep learning is popular
1. Weigts in perceptron
2. Multi layer perceptron.
1. Forward Propagation - Mathematics
2. Backward Propagation - Mathematics
3. Backward Propagation: Matrix Form
4. Neural Network From scratch Using Numpy
5. Forward Propagation (using Numpy)
6. Backward Propagation (using Numpy)
1. Why Do We Need Activation Function?
2. Linear Activation Function
3. Sigmoid and Tanh
4. ReLU and Leaky ReLU
5. Tips To Selecting Right Activation
6. Backward Propagation (using Numpy)
Get this Course Now
With this course you’ll get
- 9 Hours
Duration
- Kunal Jain
Instructor
- Intermediate
Level
Certificate of completion
Earn a professional certificate upon course completion
- Globally recognized certificate
- Verifiable online credential
- Enhances professional credibility
Frequently Asked Questions
Looking for answers to other questions?
Deep Learning is a subset of Machine Learning that uses artificial neural networks to automatically learn patterns from data. It powers applications like image recognition, speech processing, and autonomous systems.
Yes, the course includes hands-on coding exercises and projects to help you apply deep learning concepts practically.
Yes! Since DeepSDeep learning using Python - that’s the idea behind this course. Python is the most popular language for deep learning and you’ll see why when you take the course!eek is open-source, you can freely use it in commercial projects while also customizing it to fit your needs.
We regularly update the "Fundamentals of Deep Learning" course and hence do not allow for videos to be downloaded.
The DeepSeek API is designed to be user-friendly and efficient, offering robust features that allow for quick integration and high performance in various applications.
Yes, you will receive a certificate upon successfully completing the course.
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