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138 видео
NLP: Understanding the N-gram language models
Simple Deep Neural Networks for Text Classification
Kalman Filter - Part 1
Conditional Random Fields - Stanford University (By Daphne Koller)
Graph Representation Learning (Stanford university)
Gaussian Mixture Models for Clustering
NLP - Text Preprocessing and Text Classification (using Python)
Deep Learning for Handwritten Digit Recognition - Part1
Template Models: Hidden Markov Models - Stanford University
Feature Extraction from Text (USING PYTHON)
Understanding Metropolis-Hastings algorithm
Graph Node Embedding Algorithms (Stanford - Fall 2019)
Language Model Evaluation and Perplexity
Understanding ChatGPT and LLMs from Scratch - Part 2
Naive Bayes Classifier - Stanford University Course
Understanding Gated Recurrent Unit (GRU) Deep Neural Network
A Deeper Convolutional Neural Network with TensorFlow
The No Bullshit Guide to P-value: Introduction + Frequentist Statistics
Types of Neural Network Architectures
Convolutional Weights as Image Features ( Deep Learning with TensorFlow)
Common Patterns in Time Series: Seasonality, Trend and Autocorrelation
Value of Perfect Information - Stanford University
Python Libraries for Machine Learning You Must Know!
Practical Guide to Logistic Regression Analysis in R
The No Bullshit Guide to Convolutional Neural Networks and Pooling Layers in Python
Variational Autoencoders - Part 1 (Scaling Variational Inference & Unbiased estimates)
Creating Recurrent Layers in Theano and Keras - Deep Learning with Python
Deep Q-Learning using Python - Part 1
Deep Learning for Automatic Image Captioning (Using Python)!
Interpreting the Fitted Line in Simple Linear Regression
Fully Connected or Dense Layers - Deep Learning with Python
Conditional Probability
Basic Neural Nets with TensorFlow
Finding the Gradient with Newton-Raphson Method
Building Deep Convolutional Neural Network (CNN) with TensorFlow- Part 1 ( Understanding CNN)
Understanding ChatGPT and LLMs from Scratch - Part 1
Training Tips for Deep Learning (By Intel)
Maximum Likelihood as Minimizing KL Divergence
TensorFlow Basic Operations: Deep Learning with TensorFlow
Building Deep Convolutional Neural Network (CNN) with TensorFlow- Part 2 ( Understanding CNN)
Pooling Layer Application: Convolutional Neural Network with TensorFlow
A Gentle Introduction to the Central Limit Theorem (CLT)
Implementing Single Hidden Layer Neural Network with TensorFlow
