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Loss or a cost function is an important concept we need to understand if you want to grasp how a neural network trains itself.

... 3:02 - 15:54 : Machine Learning 15:55 - 34:17: Deep Learning 34:18 - 36:49 : Generative AI 36:50 - 39:20 : Traditional AI vs Gen ...

This Gen AI tutorial for beginners is sort of like a Gen AI mini-course where a person can start learning the fundamentals of Gen AI ...

Transformers is a deep learning architecture that started the modern day AI bootcamp. Applications like ChatGPT uses a model ...

In this video we will build our first neural network in tensorflow and python for handwritten digits classification. We will first build a ...

What is BERT (Bidirectional Encoder Representations From Transformers) and how it is used to solve NLP tasks? This video ...

... AI 00:42:37 Machine Learning 00:46:46 DevOps, MLOps, FastAPI 00:50:34 Machine Learning Projects 00:52:53 Deep Learning ...

A very simple explanation of convolutional neural network or CNN or ConvNet such that even a high school student can ...

In this databricks tutorial, you will learn Databricks foundations from scratch and build a real end-to-end project in E-Commerce ...

Gradient descent is the heart of all supervised learning models. It is important to understand this technique if you are pursuing a ...

Transfer learning is a very important concept in the field of computer vision and natural language processing. Using transfer ...

This video shows performance comparison of using a CPU vs NVIDIA TITAN RTX GPU for deep learning. We are using 60000 ...

In this video we will do small image classification using CIFAR10 dataset in tensorflow. We will use convolutional neural network ...

Deep Learning Full Course 2025 | Deep Learning Tutorial for Beginners [4 Hours] - 2024 Edition To learn Data Analytics ...

Credit card fraud detection, cancer prediction, customer churn prediction are some of the examples where you might get an ...

When we don't have enough training samples to cover diverse cases in image classification, often CNN might overfit. To address ...

End to end deep learning project for potato disease classification. In this session, we will cover, ⭐️ Timestamps ⭐️ 00:00 ...

Tensorflow tf.Data api allows you to build a data input pipeline. Using this you can handle large dataset for your deep learning ...

In this tutorial, we are covering few important concepts in machine learning such as cost function, gradient descent, learning rate ...

It is important to make optimal use of your hardware resources (CPU and GPU) while training a deep learning model. You can use ...