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Ultimate Deep Learning Course With TensorFlow
1 students

Ultimate Deep Learning Course With TensorFlow

Deep Learning, TensorFlow, CNN, RNN, Computer Vision, Classification, Neural Networks
Created byDesmond Otieno Onam
Last updated 3/2025
English

What you'll learn

  • Know all the fundamentals of TensorFlow and the how they are used in Deep Learning
  • Get to solve a real world problem in Regression (ML) with Neural Network
  • Solve a real world problem with Classification (ML Model) with Neural Network
  • Learn all the basics of CNN and solve a practical project challenge with CNN
  • Get to know all about Transfer learning in TensorFlow by dong: Feature Extraction, Fine Tuning, Scaling Up, and food vision Milestone Project
  • Get to learn all aspects of Natural Language Processing and a project in NLP with TensorFlow
  • Get to perform and learn a with a milestone project in SkimLit NLP
  • Get to understand all aspects of time series analysis and forecasting with TensorFlow

Course content

2 sections • 23 lectures • 13h 53m total length

  • Introduction To TensorFlow8:23
  • Introduction To TensorFlow
  • Tools Required3:33
  • Coverage for the Sections12:38
  • Introduction To Tensors6:53
  • Installation and Importation of TensorFlow3:23
  • Different Tensors6:58
  • Creating Tensors7:21
  • Creating Tensors - 214:14
  • How do you create a Rank 2 Tensor?
  • Creating tensors using tf.Variable()11:49
  • Creating Random Tensors21:38
  • Other ways to create tensors7:02
  • Cover Lesson 1 Coverage1:23:59
  • Activation Functions1:40:27
  • Tensors Complete Lesson Part 156:55
  • Tensors Complete Lesson Part 252:13

Requirements

  • To take this course, you should have the basic Python Programming knowledge
  • You should be familiar with Data Science Concepts in Python.

Description

Unlock the Power of Deep Learning with TensorFlow: A Practical Guide to Real-World AI Applications

Dive into the world of artificial intelligence with our hands-on TensorFlow course designed for learners who want more than just theory. Whether you're a beginner or brushing up on your deep learning skills, this course delivers real-world relevance, practical depth, and career-ready expertise.

You’ll start with the fundamentals of TensorFlow, then master the building blocks of neural networks, including regression and classification models. Progress into the cutting edge with Convolutional Neural Networks (CNNs) and explore the power of Transfer Learning for advanced Computer Vision applications.

What sets this course apart? Actionable projects and real datasets. Each module is packed with exercises that simulate real-world scenarios — helping you not just learn, but apply deep learning confidently.

By the end of this course, you’ll be able to:

  • Get to know all the fundamental aspects of Deep Learning, Tensorflow, Neural Networks.

  • Build, train, and optimize neural networks with TensorFlow.

  • Know how to implement the Classification and regression solutions to tasks using Neural Networks.

  • Apply CNNs to image classification and pattern recognition.

  • Harness Transfer Learning for powerful Computer Vision tasks.

  • Solve practical AI problems with a project-driven approach.


Whether you're aiming to build AI-powered products, enhance your portfolio, or prepare for a tech role — this course is your gateway to mastering deep learning with TensorFlow.

Who this course is for:

  • Advanced Python - Data Science, Deep Learning and AI Experts.
  • Masters in Data Science, Machine Learning, AI, GenAI and enthusiasts ML Experts

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