![Learn With Jay]({"thumbnails":[{"url":"https://i.ytimg.com/vi/lWPkNkShNbo/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLBCvkOvyfRfWnNkWAYP5X6bgnzwOA","width":168,"height":94},{"url":"https://i.ytimg.com/vi/lWPkNkShNbo/hqdefault.jpg?sqp=-oaymwEbCMQBEG5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLCou_8grq6PsE5JJUdgPA1Pem3qsg","width":196,"height":110},{"url":"https://i.ytimg.com/vi/lWPkNkShNbo/hqdefault.jpg?sqp=-oaymwEcCPYBEIoBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLD89trb6-XN3FO67pw3aCaNoryb0A","width":246,"height":138},{"url":"https://i.ytimg.com/vi/lWPkNkShNbo/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLCODLcpbj8Dw0UjmCPeaoaWWMWkNg","width":336,"height":188},{"url":"https://i.ytimg.com/vi_webp/lWPkNkShNbo/maxresdefault.webp","width":1920,"height":1080}]})
Transcripts of Learn With Jay - 6 Videos
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Browse and read full transcripts from Learn With Jay's videos. We've transcribed 6 videos with a total of 6.8K words. Perfect for studying, referencing, or catching up on content you might have missed.
![Types of Recurrent Neural Networks (RNNs)]({"thumbnails":[{"url":"https://i.ytimg.com/vi/R2ZhLI2-vHI/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLAcs-B5Pn07sJFPNfHxdJMaDnAoNg","width":168,"height":94},{"url":"https://i.ytimg.com/vi/R2ZhLI2-vHI/hqdefault.jpg?sqp=-oaymwEbCMQBEG5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLAoaubnem0kKf8VTJ7ABvXMl6Q3Jg","width":196,"height":110},{"url":"https://i.ytimg.com/vi/R2ZhLI2-vHI/hqdefault.jpg?sqp=-oaymwEcCPYBEIoBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLAfLJ8BpPnxaW7GiQ7qnc9ajlSZWw","width":246,"height":138},{"url":"https://i.ytimg.com/vi/R2ZhLI2-vHI/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLAgWehvZCZ2b9QP4qNNcnOD5IYZoQ","width":336,"height":188},{"url":"https://i.ytimg.com/vi_webp/R2ZhLI2-vHI/maxresdefault.webp","width":1920,"height":1080}]})
![RNN Model Details | Recurrent Neural Networks | Deep Learning]({"thumbnails":[{"url":"https://i.ytimg.com/vi/7ZQgK_MV_t0/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLDFg_TMwoNyZEkkA8GNEqAQuCAr8g","width":168,"height":94},{"url":"https://i.ytimg.com/vi/7ZQgK_MV_t0/hqdefault.jpg?sqp=-oaymwEbCMQBEG5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLBMlVzeZZlKrXaS_IeQjVDLFbT9LA","width":196,"height":110},{"url":"https://i.ytimg.com/vi/7ZQgK_MV_t0/hqdefault.jpg?sqp=-oaymwEcCPYBEIoBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLA1C_7VCRJ8bt4iKKJUJ7MV6LaDxw","width":246,"height":138},{"url":"https://i.ytimg.com/vi/7ZQgK_MV_t0/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLC7L-18EJd_uXgeeOGMo27uKcH5KQ","width":336,"height":188},{"url":"https://i.ytimg.com/vi/7ZQgK_MV_t0/maxresdefault.jpg","width":1920,"height":1080}]})
![Backpropagation in RNN | Backpropagation through time]({"thumbnails":[{"url":"https://i.ytimg.com/vi/Wu9BsMSKqyk/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVvKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLCYH_GUV78lAdLcbPi62NiDpwme6g","width":168,"height":94},{"url":"https://i.ytimg.com/vi/Wu9BsMSKqyk/hqdefault.jpg?sqp=-oaymwEbCMQBEG5IVvKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLAtj6Qs44YjQ4RplX92C5CKOTKa6g","width":196,"height":110},{"url":"https://i.ytimg.com/vi/Wu9BsMSKqyk/hqdefault.jpg?sqp=-oaymwEcCPYBEIoBSFbyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLDKltVEK9fUW5-Z9RlVNBIA4CgXwA","width":246,"height":138},{"url":"https://i.ytimg.com/vi/Wu9BsMSKqyk/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFbyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLDMvuxSaTsLppWw4o41I675Bxl_jw","width":336,"height":188},{"url":"https://i.ytimg.com/vi_webp/Wu9BsMSKqyk/maxresdefault.webp","width":1920,"height":1080}]})
![Gated Recurrent Unit | GRU | Explained in detail]({"thumbnails":[{"url":"https://i.ytimg.com/vi/IBs8D8PWMc8/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLA74VVI5ZZxtSZv4bKt0m94gXplqw","width":168,"height":94},{"url":"https://i.ytimg.com/vi/IBs8D8PWMc8/hqdefault.jpg?sqp=-oaymwEbCMQBEG5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLDsUxoRju7v1SgnTkleXndM7x0Rsg","width":196,"height":110},{"url":"https://i.ytimg.com/vi/IBs8D8PWMc8/hqdefault.jpg?sqp=-oaymwEcCPYBEIoBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLBxHXSjICr4-FfsFa5syfwU1Wvv6Q","width":246,"height":138},{"url":"https://i.ytimg.com/vi/IBs8D8PWMc8/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLA7lZPgx9OJ0jz7UnYRT-ngqcX67g","width":336,"height":188},{"url":"https://i.ytimg.com/vi_webp/IBs8D8PWMc8/maxresdefault.webp","width":1920,"height":1080}]})
![Fully Connected Layer in CNN]({"thumbnails":[{"url":"https://i.ytimg.com/vi/rxSmwM7z0_4/hqdefault.jpg?sqp=-oaymwEmCKgBEF5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLAbFcbJk-it_KFuUxRYRsFE_NNLcQ","width":168,"height":94},{"url":"https://i.ytimg.com/vi/rxSmwM7z0_4/hqdefault.jpg?sqp=-oaymwEmCMQBEG5IWvKriqkDGQgBFQAAiEIYAdgBAeIBCggYEAIYBjgBQAE=&rs=AOn4CLA7Qeq6vKJ9O1p5MqFDUjLPzo3y1Q","width":196,"height":110},{"url":"https://i.ytimg.com/vi/rxSmwM7z0_4/hqdefault.jpg?sqp=-oaymwEnCPYBEIoBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLAH9hshb_ECz_TEuFVa_Hx1U4KxFw","width":246,"height":138},{"url":"https://i.ytimg.com/vi/rxSmwM7z0_4/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLAiotAAmnRp_cw4ZY6dVcDvGZvRvA","width":336,"height":188},{"url":"https://i.ytimg.com/vi_webp/rxSmwM7z0_4/maxresdefault.webp","width":1920,"height":1080}]})
