Master TensorFlow 2024: From Basics to Advanced AI
Focused View
4:33:10
1 -What is Machine Learning.mp4
10:59
2 -Introduction to TensorFlow.mp4
07:53
3 -TensorFlow vs. Other Machine Learning frameworks.mp4
15:11
4 -Installing TensorFlow.mp4
11:46
5 -Setting up your Development Environment.mp4
09:39
6 -Verifying the Installation.mp4
13:33
1 -Introduction to Tensors.mp4
02:18
2 -Tensor Operations.mp4
04:28
3 -Constants, Variables, and Placeholders.mp4
03:41
4 -TensorFlow Computational Graph.mp4
04:28
5 -Creating and Running a TensorFlow Session.mp4
03:09
6 -Managing Graphs and Sessions.mp4
04:37
7 -Building a Simple Feedforward Neural Network.mp4
05:31
8 -Activation Functions.mp4
04:31
9 -Loss Functions and Optimizers.mp4
06:20
1 -Introduction to Keras API.mp4
05:17
2 -Building Complex Models with Keras.mp4
04:47
3 -Training and Evaluating Models.mp4
05:19
4 -Introduction to CNNs(Convolutional Neural Networks).mp4
04:59
5 -Building and Training CNNs with TensorFlow.mp4
03:32
6 -Transfer Learning with Pre-trained CNNs.mp4
05:25
7 -Introduction to RNNs(Recurrent Neural Networks).mp4
05:17
8 -Building and Training RNNs with TensorFlow.mp4
03:29
9 -Applications of RNNs Language Modeling, Time Series Prediction.mp4
03:38
1 -Saving and Loading Models.mp4
04:32
2 -TensorFlow Serving for Model Deployment.mp4
04:29
3 -TensorFlow Lite for Mobile and Embedded Devices.mp4
05:28
5 -TensorFlows Distributed Execution Framework.mp4
05:34
6 -Scaling TensorFlow with TensorFlow Serving and Kubernetes.mp4
05:52
7 -Introduction to TFX(TensorFlow Extended).mp4
06:07
8 -Building End-to-End ML Pipelines with TFX.mp4
04:12
9 -Model Validation, Transform, and Serving with TFX.mp4
05:32
1 -Image Classification.mp4
05:56
2 -Natural Language Processing.mp4
05:37
3 -Recommender Systems.mp4
05:52
4 -Object Detection.mp4
05:07
5 -Building a Sentiment Analysis Model.mp4
06:03
6 -Creating an Image Recognition System.mp4
05:03
7 -Developing a Time Series Prediction Model.mp4
04:04
8 -Implementing a Chatbot.mp4
05:54
1 -Generative Adversarial Networks (GANs).mp4
05:06
2 -Reinforcement Learning with TensorFlow.mp4
05:41
3 -Quantum Machine Learning with TensorFlow Quantum.mp4
05:27
4 -TensorFlow Documentation and Tutorials.mp4
04:37
5 -Online Courses and Books.mp4
03:07
6 -TensorFlow Community and Forums.mp4
04:16
1 -Summary of Key Concepts.mp4
05:21
2 -Next Steps in Your TensorFlow Journey.mp4
04:26
More details
Course Overview
This comprehensive TensorFlow course takes you from fundamental concepts to advanced model deployment, equipping you with practical machine learning skills for real-world applications.
What You'll Learn
- Build and train CNNs, RNNs, and other neural networks
- Deploy production-ready models with TensorFlow Serving
- Implement practical ML solutions for image/NLP tasks
Who This Is For
- Aspiring ML engineers and data scientists
- Developers expanding into AI/ML fields
- Tech professionals upgrading their ML skills
Key Benefits
- Hands-on projects with real-world datasets
- Complete coverage from basics to deployment
- Industry-relevant TensorFlow techniques
Curriculum Highlights
- TensorFlow Fundamentals & Neural Networks
- Advanced Architectures (CNNs/RNNs)
- Model Deployment & Production Pipelines
Focused display
- language english
- Training sessions 48
- duration 4:33:10
- Release Date 2025/04/15
