๐ Day 13 of My Machine Learning Journey is Live!
๐ฅ Just uploaded a complete tutorial on:
Neural Networks & Deep Learning
In this video, I cover:
โข Biological Neurons vs Artificial Neurons
โข Perceptron Model
โข Weights, Bias, and Activation Functions
โข Sigmoid, ReLU, Tanh, Softmax
โข Multi-Layer Perceptron (MLP)
โข Neural Network Architecture
โข Forward Propagation
โข Loss Functions
โข Backpropagation
โข Gradient Descent
โข Optimizers (SGD, RMSProp, Adam)
โข Overfitting & Regularization
โข Dropout & Batch Normalization
โข Training Curves
โข Hyperparameter Tuning
โข sklearn MLPClassifier
โข TensorFlow / Keras Implementation
โข CNNs, RNNs, Transformers
โข Real-world AI Applications
โข Interview Questions
This video explains:
โ
How Neural Networks actually learn
โ
Why Deep Learning changed the AI industry
โ
How backpropagation updates weights
โ
Why ReLU replaced Sigmoid
โ
How ChatGPT and modern AI systems work internally
Perfect for beginners learning:
Machine Learning โข Deep Learning โข AI โข Neural Networks โข TensorFlow โข Keras ๐จโ๐ป
From simple perceptrons to the foundations of ChatGPT โ everything explained step by step ๐
#MachineLearning #DeepLearning #NeuralNetworks #AI #Python #TensorFlow #Keras #ArtificialIntelligence #ML #DataScience #ChatGPT #Transformer #CNN #RNN #Coding #YouTube
source
