Deep Learning with Python: The Complete Guide #ai #python #ml #programming
Python Programming: Deep Learning & Neural Network #ai #python #ml #programming
Dive into the core of what gives AI its “brain.” This video breaks down deep learning, neural networks, backpropagation, and how frameworks like TensorFlow & PyTorch let machines recognize cats, generate text, and beat humans at chess. Perfect for beginners & tech curious minds. Resources included: DeepLearning.AI’s Coursera course (~3 months), Goodfellow/Bengio/Courville’s Deep Learning book, top YouTube channels for follow-up learning.
Explore Deep Learning and Neural Networks
Because they’re what give AI the brainpower to recognize cats, talk like ChatGPT, and beat humans at chess while making us feel dumb. They’re literally the “intelligence” part of artificial intelligence.
What: Deep learning powers advanced AI (e.g., image recognition, NLP). Learn about neural networks, backpropagation, and frameworks like TensorFlow or PyTorch.
Resources:
Free: DeepLearning.AI’s “Deep Learning Specialization” on Coursera (~3 months).
YouTube: Siraj Raval or DeepLearningAI for tutorials.
Book: “Deep Learning” by Goodfellow, Bengio, and Courville (technical but comprehensive).
#pythonbasicsforbeginners
#artificialinteligence #neuralnetwork #tensorflow #pytorch #numpy #ml #python #coding #aiforbeginners #nlp #aishort #new
🏷
deep learning
neural networks
what is deep learning
backpropagation
TensorFlow tutorial
PyTorch tutorial
machine learning vs deep learning
AI basics
convolutional neural networks
natural language processing
how neural networks work
AI explained
“What exactly is AI and how does it work?” (Yes, even in 2025, still confused.)
“Will AI take my job or just make me its assistant?”
“What’s the difference between AI, machine learning, and deep learning?”
“How does ChatGPT know stuff?” (Spoiler: statistics, not sorcery.)
“Can AI think or feel like humans?”
“How do I start learning AI — coding, math, or just vibes?”
“Is AI dangerous — Skynet or savior?”
“Which AI tools are free and actually useful?”
“How does AI recognize images, speech, and text?”
“What are the ethics of AI — bias, privacy, deepfakes?”
What is deep learning vs machine learning?
How does a neural network actually learn (backpropagation in simple words)?
What are common neural net architectures (CNNs, RNNs, Transformers)?
When should I use TensorFlow vs PyTorch?
What are activation functions and why do they matter?
What is overfitting & how do I avoid it?
Do I need a powerful GPU to start with deep learning?
How much math do I need (linear algebra, calculus)?
Can I build deep learning models without tons of data?
What ethical issues / bias problems are there in deep learning?
📌Also Watch For Better Learning:-
1:- Learn Basics of AI
https://youtube.com/shorts/vWmada6vZrc?si=5cqMOhtI9SA9QbGD
2:- Learn Programming
https://youtube.com/shorts/JyTTS9DvFsE?si=AOVUSmso3IXYWNF9
3:- Math & Statistics for ML & AI
https://youtube.com/shorts/gJi-u6wpGVs?si=GK4To5v2zk7mV8p0
4. Machine Learning:-
https://youtube.com/shorts/E4UWExiBgHE?si=75AiyHAUdFSWbt3P
📌Roadmap for learning AI:-
https://youtube.com/playlist?list=PLkmRZVWgDCDTPHFRfxEsGavb-5L_mM87_&si=H6S4fTbtegN4vwuQ
📌AI, types and real world uses:-
https://youtube.com/playlist?list=PLkmRZVWgDCDSHodHX7uiFzHB1J1EHAHk5&si=6ghVakmtYM2HU-0r
Python Programming: Deep Learning & Neural Network #ai #python #ml #programming
Dive into the core of what gives AI its “brain.” This video breaks down deep learning, neural networks, backpropagation, and how frameworks like TensorFlow & PyTorch let machines recognize cats, generate text, and beat humans at chess. Perfect for beginners & tech curious minds. Resources included: DeepLearning.AI’s Coursera course (~3 months), Goodfellow/Bengio/Courville’s Deep Learning book, top YouTube channels for follow-up learning.
Explore Deep Learning and Neural Networks
Because they’re what give AI the brainpower to recognize cats, talk like ChatGPT, and beat humans at chess while making us feel dumb. They’re literally the “intelligence” part of artificial intelligence.
What: Deep learning powers advanced AI (e.g., image recognition, NLP). Learn about neural networks, backpropagation, and frameworks like TensorFlow or PyTorch.
Resources:
Free: DeepLearning.AI’s “Deep Learning Specialization” on Coursera (~3 months).
YouTube: Siraj Raval or DeepLearningAI for tutorials.
Book: “Deep Learning” by Goodfellow, Bengio, and Courville (technical but comprehensive).
#pythonbasicsforbeginners
#artificialinteligence #neuralnetwork #tensorflow #pytorch #numpy #ml #python #coding #aiforbeginners #nlp #aishort #new
🏷
deep learning
neural networks
what is deep learning
backpropagation
TensorFlow tutorial
PyTorch tutorial
machine learning vs deep learning
AI basics
convolutional neural networks
natural language processing
how neural networks work
AI explained
“What exactly is AI and how does it work?” (Yes, even in 2025, still confused.)
“Will AI take my job or just make me its assistant?”
“What’s the difference between AI, machine learning, and deep learning?”
“How does ChatGPT know stuff?” (Spoiler: statistics, not sorcery.)
“Can AI think or feel like humans?”
“How do I start learning AI — coding, math, or just vibes?”
“Is AI dangerous — Skynet or savior?”
“Which AI tools are free and actually useful?”
“How does AI recognize images, speech, and text?”
“What are the ethics of AI — bias, privacy, deepfakes?”
What is deep learning vs machine learning?
How does a neural network actually learn (backpropagation in simple words)?
What are common neural net architectures (CNNs, RNNs, Transformers)?
When should I use TensorFlow vs PyTorch?
What are activation functions and why do they matter?
What is overfitting & how do I avoid it?
Do I need a powerful GPU to start with deep learning?
How much math do I need (linear algebra, calculus)?
Can I build deep learning models without tons of data?
What ethical issues / bias problems are there in deep learning?
📌Also Watch For Better Learning:-
1:- Learn Basics of AI
https://youtube.com/shorts/vWmada6vZrc?si=5cqMOhtI9SA9QbGD
2:- Learn Programming
https://youtube.com/shorts/JyTTS9DvFsE?si=AOVUSmso3IXYWNF9
3:- Math & Statistics for ML & AI
https://youtube.com/shorts/gJi-u6wpGVs?si=GK4To5v2zk7mV8p0
4. Machine Learning:-
https://youtube.com/shorts/E4UWExiBgHE?si=75AiyHAUdFSWbt3P
📌Roadmap for learning AI:-
https://youtube.com/playlist?list=PLkmRZVWgDCDTPHFRfxEsGavb-5L_mM87_&si=H6S4fTbtegN4vwuQ
📌AI, types and real world uses:-
https://youtube.com/playlist?list=PLkmRZVWgDCDSHodHX7uiFzHB1J1EHAHk5&si=6ghVakmtYM2HU-0r
