Deep Learning Bootcamp: Python, TensorFlow, and Projects
Break into AI! Learn deep learning by building real-world projects with Python, TensorFlow, and Keras—no experience needed.
Lectures -34
Duration -4 hours
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Course Description
This practical course will teach you deep learning from the ground up using Python. There are no lectures here—only doing! You will build neural networks, train AI models, and create workflows to solve real-world problems in image recognition, natural language processing, and much more.
This course was designed for beginners and intermediate learners, and you will learn everything from the basics of deep learning through advanced deployment of models using TensorFlow and Keras.
By the conclusion of this course, you will have a portfolio of real AI projects and the confidence to not only crush interviews but to build your own AI applications.
? Understand the theory of neural networks
? Build models like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short Term Memory (LSTM) networks, and Generative Adversarial Networks (GAN)
? Train, tune and deploy your AI projects
? Deep learning use cases
? Hands-on with TensorFlow, Keras, NumPy, and more
Embark on your exciting artificial intelligence career journey today—No PhD required!
Goals
- Understand the core concepts of deep learning and AI
- Build deep neural networks with TensorFlow & Keras
- Solve real-world problems using computer vision & NLP
- Train, evaluate, and deploy models to the web/cloud
- Create a portfolio of impressive AI projects
- Understand the core concepts of deep learning and AI
- Build deep neural networks with TensorFlow & Keras
- Solve real-world problems using computer vision & NLP
- Train, evaluate, and deploy models to the web/cloud
- Create a portfolio of impressive AI projects
- Build deep neural networks with TensorFlow & Keras
- Train, evaluate, and deploy models to the web/cloud
Prerequisites
- Basic Python programming knowledge
- Basic understanding of math (algebra & functions)
- No prior AI or deep learning experience required
- Enthusiasm to build and deploy real AI models!

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Deep Learning Concepts
5 Lectures
-
The History of Deep Learning and Inspired by Neuroscience 10:06 10:06
-
Understanding Neural Networks: Weights, Multi-Neuron Networks 11:58 11:58
-
Dive Deep into Backpropagation 10:53 10:53
-
Introduction to RNNs: The Intuition Behind RNNs and Different Cells 10:25 10:25
-
Building RNNs with TensorFlow: Hands-on Multiple Neural Networks 09:08 09:08
Advanced Training Techniques
6 Lectures

Advanced CNN Techniques
6 Lectures

Deep Learning for Computer Vision
6 Lectures

Model Interpretation and Optimization
7 Lectures

Advanced Optimization Techniques
4 Lectures

Instructor Details

Skills Marathon
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