#reinforcement#deeplearning#intelligence
Ahlad Kumar
active · last success 2026-06-18 21:40
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#reinforcement#deeplearning#intelligence
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#reinforcement#deeplearning#intelligence
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#reinforcement#deeplearning#intelligence
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In this lecture, the concept of Gradient tape in implementing higher-order derivatives is discussed. GitHub repository https://github.com/kumarahlad/TensorFlow_Lab
In this lecture, the concept of Gradient tape in implementing higher-order derivatives is discussed. GitHub repository https://github.com/kumarahlad/TensorFlow_Lab -
In this lecture, the concept of Gradient tape is discussed. GitHub repository https://github.com/kumarahlad/TensorFlow_Lab
In this lecture, the concept of Gradient tape is discussed. GitHub repository https://github.com/kumarahlad/TensorFlow_Lab -
In this lecture TensorFlow Variables is discussed along with its key differences from TensorFlow constants.
In this lecture TensorFlow Variables is discussed along with its key differences from TensorFlow constants. -
In this lecture, concepts of Tesnorflow constants, broadcasting, tf.tile, reshape, tf.expand and tf.squeeze are discussed. Github Repository Link: https://github.com/kumarahlad/TensorFlow_Lab Timestamps 0:00 Introduction 0:48 Element-wise Operations 4:22 Broadcasting 11:43...
In this lecture, concepts of Tesnorflow constants, broadcasting, tf.tile, reshape, tf.expand and tf.squeeze are discussed. Github Repository Link: https://github.com/kumarahlad/TensorFlow_Lab Timestamps 0:00 Introduction 0:48 Element-wise Operations 4:22 Broadcasting 11:43 Some random examples 16:32 Reshaping and Transpose 25:22 tf. tile explanation 29:12 tf.expand Explanation 35:08 tf.squeeze Explanation -
Enhance your TensorFlow v2 proficiency by learning to define constants and perform operations with precision. This tutorial covers essential concepts and practical examples, making it ideal for beginners and experienced practitioners. Watch now to deepen your understanding...
Enhance your TensorFlow v2 proficiency by learning to define constants and perform operations with precision. This tutorial covers essential concepts and practical examples, making it ideal for beginners and experienced practitioners. Watch now to deepen your understanding and improve your machine-learning and deep learning models. GitHub Link: https://github.com/kumarahlad/TensorFlow_Lab Timestamps 0:00 Introduction 0:02 TensorFlow Constants ( constants, array, matrices, 3D Tensors) 7:21 TensorFlow Operations 10:24 Difference between Numpy and Tensors 12:25 TensorFlow Matrix Multiplication 13:14 Slicing of Tensors -
#nlp#word2vec#tokenization
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Indian Space Research Organisation (https://www.isro.gov.in/) sponsored seminar at DAIICT (https://www.daiict.ac.in/)
Indian Space Research Organisation (https://www.isro.gov.in/) sponsored seminar at DAIICT (https://www.daiict.ac.in/) - End of feed
