This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI
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Updated
Jun 16, 2024 - Jupyter Notebook
This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
Code release for Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering (TPAMI 2022).
Deep Learning Specialization. Master Deep Learning, and Break into AI
Image classification between Cats and Dogs using Keras
This repository contains my coursework and projects completed during the Deep Learning Specialization offered by DeepLearning.AI and Stanford Online.
Participants in this Specialization have the opportunity to construct and train various neural network architectures, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Transformers. They learn to enhance these networks with techniques such as Dropout, BatchNorm, Xavier/He initialization, among others.
Contains solutions and notes for the Deep Learning Specialization by Deeplearning.ai, Andrew Ng on Coursera
Lecture notes, resources and programming assignments taken from the specialized deep learning program (a sequence of courses all related to deep learning) offered by DeepLearning.AI on coursera.
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