5 advantages of TensorFlow: Machine learning library you must be aware

TensorFlow provides many advantages, a few of them are:

TensorFlow is fully open source and free to use by anyone who wants to work on this.

[{"selector":"#anim-c32266a0-8883-4b78-892e-f0ec78e960ec","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-9b705314-9e51-4f70-939d-c3fb43a629db","keyframes":{"transform":["translate3d(0px, -497.04871%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-b2b6187f-9df1-404d-9820-c2f558adea23","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-3309ee3d-d9df-472e-a819-521a7bb3ff35","keyframes":{"transform":["translate3d(0px, -920.44494%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-d6f30aad-c8e0-4bca-9739-0d901d8b865d [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1.5)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":2000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

Tensorflow provides better data visualization compared to other libraries like Torch and Theano.

[{"selector":"#anim-0cbf1dd8-4236-4636-a89f-57947cc196e6","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-b71cd51f-46da-4a50-bd9f-d5288ba78d50","keyframes":{"transform":["translate3d(0px, -415.66599%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-b38353dd-b9b1-48ac-b439-9c56d0879dbe","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-6be81bbe-c6c9-4ac2-a893-d62e811c3d15","keyframes":{"transform":["translate3d(0px, -920.44494%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-7184a74e-3712-408e-9ca9-c48fbe5ebdfe [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1.5)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":2000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

Tensorflow can run on the CPU as well as on GPU. A user is free to use either of them as per requirement.

[{"selector":"#anim-1527f3fa-a161-4989-8114-b06f6cb67d3a","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-3fae0172-469c-469a-9eb4-c326c2c957ae","keyframes":{"transform":["translate3d(0px, -415.66599%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-bc6ef4c2-a295-4e32-b4b2-619f9d56f284","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-119e8137-0c89-4f9c-853b-f1e6a3af881d","keyframes":{"transform":["translate3d(0px, -920.44494%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-2fffff84-281f-48d5-809e-7e261d9a4f7e [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1.5)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":2000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

Since Tensorflow is backed by google, it is updated frequently with new releases and features.

[{"selector":"#anim-b9e547a0-1623-42b1-80f8-a91a7e44be79","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-800cd9b9-e650-483c-b64f-2f4bda1821a1","keyframes":{"transform":["translate3d(0px, -405.72809%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-7cd3ea9c-80f9-4afe-973a-c36451647dd2","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-05cb9738-e0b0-4f07-99cd-d262b28f4814","keyframes":{"transform":["translate3d(0px, -1011.60536%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-57ea20f7-dd79-4eab-a0b6-591c99294098 [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1.5)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":2000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

Tensorflow is compatible with many programming languages like Python, C++, JavaScript, etc. Users can write code in any of these languages based on their requirements.

[{"selector":"#anim-ae21bbc7-c470-4711-b23b-2992a914a64e","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-c37d01dd-8eaf-4278-a84f-66d805b8ce88","keyframes":{"transform":["translate3d(0px, -260.31744%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-af717f72-befe-49f8-81dc-37383679b286","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-dae21c5f-9f87-4131-b9f2-eb13af3899b9","keyframes":{"transform":["translate3d(0px, -784.44481%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-b8b8858e-8412-4505-8159-812356432b9b [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1.5)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":2000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

7 things about Datalake you must know before getting started

[{"selector":"#anim-ffd8fb6f-4e24-41df-b666-e5a0f9667118","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-96aa7400-a93c-4b3d-8482-e722b6699347","keyframes":{"transform":["translate3d(0px, -488.67521%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-20780226-4f4b-4959-a9e1-2b88bd1faa34 [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1.5)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":2000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

TensorFlow provides many advantages, a few of them are:

TensorFlow is fully open source and free to use by anyone who wants to work on this.

open source

Tensorflow provides better data visualization compared to other libraries like Torch and Theano.

Graphs

Tensorflow can run on the CPU as well as on GPU. A user is free to use either of them as per requirement.

Parallelism

Since Tensorflow is backed by google, it is updated frequently with new releases and features.

Library management

Tensorflow is compatible with many programming languages like Python, C++, JavaScript, etc. Users can write code in any of these languages based on their requirements.

Compatible

7 things about Datalake you must know before getting started