[ML BASIC REVIEW 2]
ML_BASIC_REVIEW 2
ML
[ML BASIC REVIEW 1]
ML_BASIC_REVIEW 1
[GCP ML engineer certification Day7]
ML strategy
[GCP ML engineer certification Day6]
Machine Learning with Tensorflow on Google Cloud Platorm (Coursera Lecture)
[GCP ML engineer certification Day2]
Recommending Products using Cloud SQL and Spark
[GCP ML engineer certification Day1]
Google Cloud Platform Big Data and Machine Learning Fundamentals (Coursera Lecture)
[Google_Bootcamp_Day26]
Algorithms for learning word embeddings
[Google_Bootcamp_Day25]
Word representation
[Google_Bootcamp_Day24]
Language model and sequence generation
[Google_Bootcamp_Day23]
Sequence Models
[Google_Bootcamp_Day23]
Neural style transfer
[Google_Bootcamp_Day21]
Face recognition
[Google_Bootcamp_Day20]
Object Detection
[Google_Bootcamp_Day19]
Convolutional Neural Network 3
[Google_Bootcamp_Day18]
Convolutional Neural Networks 2
[Google_Bootcamp_Day17]
Convolutions over volumes
[Google_Bootcamp_Day16]
Convolutional Neural Network
[Google_Bootcamp_Day15]
ML strategy 4
[Google_Bootcamp_Day14]
ML strategy 3
[Google_Bootcamp_Day13]
ML strategy 2
[Google_Bootcamp_Day12]
ML strategy 1
[Google_Bootcamp_Day11]
Batch Normalization
[Google_Bootcamp_Day10]
Tuning Process
[Google_Bootcamp_Day9]
RMSprop (Root Mean Square prop)
[Google_Bootcamp_Day8]
Mini-batch gradient descent
[Google_Bootcamp_Day7]
Normalizing inputs
[Google_Bootcamp_Day6]
Train/dev/test set
[Google_Bootcamp_Day5]
Parameters W and B
[Google_Bootcamp_Day4]
Activation Functions
[Google_Bootcamp_Day3]
Neural network representation
[Google_Bootcamp_Day2]
Logistic regression recap
[Google_Bootcamp_Day1]
Google Machine Learning Bootcamp (Coursera Deep Learning Specialization)