[2025] Tensorflow 2: Deep Learning & Artificial Intelligence
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Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!
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Created by Lazy Programmer Inc. Lazy Programmer Team | 25 hours on-demand video course
Tensorflow Course Overview
[2025] Tensorflow 2: Deep Learning & Artificial Intelligence
Welcome to [2025] Tensorflow 2: Deep Learning & Artificial Intelligence Course. This course is for beginner-level students all the way up to expert-level students. It’s been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version. Tensorflow is Google’s library for deep learning and artificial intelligence.
Deep Learning has been responsible for some amazing achievements recently, such as:
- Generating beautiful, photo-realistic images of people and things that never existed (GANs)
- Beating world champions in the strategy game Go, and complex video games like CS:GO and Dota 2 (Deep Reinforcement Learning)
- Self-driving cars (Computer Vision)
- Speech recognition (e.g. Siri) and machine translation (Natural Language Processing)
- Even creating videos of people doing and saying things they never did (DeepFakes – a potentially nefarious application of deep learning)
Tensorflow is the world’s most popular library for deep learning, and it’s built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning.
What you’ll learn
- Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
- Predict Stock Returns
- Time Series Forecasting
- Computer Vision
- How to build a Deep Reinforcement Learning Stock Trading Bot
- GANs (Generative Adversarial Networks)
- Recommender Systems
- Image Recognition
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Use Tensorflow Serving to serve your model using a RESTful API
- Use Tensorflow Lite to export your model for mobile (Android, iOS) and embedded devices
- Use Tensorflow’s Distribution Strategies to parallelize learning
- Low-level Tensorflow, gradient tape, and how to build your own custom models
- Natural Language Processing (NLP) with Deep Learning
- Demonstrate Moore’s Law using Code
- Transfer Learning to create state-of-the-art image classifiers
- VIP Content: Build your own DeepDream Model
- VIP Content: Build your own Object Localization Model
Recommended Tensorflow Courses
Become a TensorFlow Certified Professional Developer
The Data Science Course: Complete Data Science Bootcamp 2025 Best seller
Tensorflow Course Reviews
Everything You Need to Know About [2025] Tensorflow 2: Deep Learning & Artificial Intelligence
This course is a comprehensive and well-structured introduction to [2025] Tensorflow 2: Deep Learning & Artificial Intelligence. The instructor, Lazy Programmers is a leading expert in the field with a wealth of experience in Development to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Tensorflow. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning [2025] Tensorflow 2: Deep Learning & Artificial Intelligence. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
